Datasets:
|
Download README.md from MatMaster-DP/MATTER-604-evaluator-access: direct link, hf CLI and curl.
- Browser
- Download file 6.37 kB
-
https://huggingface.co/datasets/MatMaster-DP/MATTER-604-evaluator-access/resolve/main/README.md
- Command line
-
hf download hf://datasets/MatMaster-DP/MATTER-604-evaluator-access/README.md
-
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/datasets/MatMaster-DP/MATTER-604-evaluator-access/resolve/main/README.md
6.37 kB
| language: | |
| - zh | |
| - en | |
| pretty_name: MATTER-604 Evaluator Access | |
| license: apache-2.0 | |
| size_categories: | |
| - n<1K | |
| task_categories: | |
| - question-answering | |
| tags: | |
| - materials-science | |
| - agent | |
| - benchmark | |
| - private-evaluation | |
| gated: manual | |
| extra_gated_heading: Request access to the MATTER-604 self-hosted evaluator | |
| extra_gated_description: Access is intended for trusted benchmark maintainers who will isolate hidden answers and rubrics from evaluated Agents. | |
| extra_gated_prompt: Approved users receive a downloadable evaluator snapshot. Results must be reported as self-hosted rather than official MATTER scores. | |
| extra_gated_fields: | |
| Full name: text | |
| Affiliation: text | |
| Intended evaluation use: text | |
| Agent or model to be evaluated: text | |
| Answer isolation and anti-cheating plan: text | |
| Planned publication of results or traces: text | |
| I understand that the evaluated Agent must not access hidden answers, rubrics, or evaluator internals: checkbox | |
| I understand that results produced with this package are self-hosted and not official MATTER scores: checkbox | |
| # MATTER-604 Evaluator Access | |
| This manual-gated repository provides a versioned copy of the MATTER-604 | |
| reference answers, per-task rubrics, Gold fixtures, and evaluator code to | |
| trusted third-party benchmark maintainers. | |
| Scores produced from this package are **self-hosted MATTER evaluations**, not | |
| official scores issued by the canonical private evaluator maintained by | |
| MatMaster-DP. See `ACCESS_POLICY.md` for the evidence and reporting contract. | |
| ## Repository contents | |
| ```text | |
| MATTER-604-evaluator-access/ | |
| ├── README.md | |
| ├── ACCESS_POLICY.md | |
| ├── LICENSE | |
| ├── manifest.json | |
| ├── requirements.txt | |
| ├── restricted_assets.json | |
| ├── score-config.yaml | |
| ├── tasks.tsv | |
| ├── evaluation/ | |
| │ ├── __init__.py | |
| │ ├── config.yaml | |
| │ ├── core/ | |
| │ ├── question_bank/ | |
| │ ├── scripts/ | |
| │ └── validators/ | |
| └── .gitattributes | |
| ``` | |
| | Path | Description | | |
| |---|---| | |
| | `README.md` | Dataset Card describing the evaluator package, repository layout, scoring components, and access workflow. | | |
| | `ACCESS_POLICY.md` | Operating and reporting contract for answer isolation, evidence retention, self-hosted evaluation, and Bohr CLI traces. | | |
| | `LICENSE` | Apache-2.0 license for MATTER-owned content. | | |
| | `manifest.json` | Machine-readable package identity: 604 tasks, manual-gated release type, evaluator commitment, scoring authority, and resource metadata. | | |
| | `requirements.txt` | Pinned Python dependencies required by the evaluator and scientific validators. | | |
| | `restricted_assets.json` | Identity, size, SHA-256, provenance, and acquisition records for six license-controlled scientific inputs. | | |
| | `score-config.yaml` | Scoring configuration with equal correctness, grounding, and efficiency weights plus the evaluator-LLM runtime settings. | | |
| | `tasks.tsv` | Ordered index of 604 unique task IDs used to select and align question-bank records. | | |
| | `evaluation/` | Hidden question bank, reference answers, rubrics, evidence model, scoring engine, validators, and scoring scripts. | | |
| | `.gitattributes` | Hugging Face repository transport metadata managed by the Hub. | | |
| ## Evaluation package | |
| The `evaluation/` tree contains 406 repository files organized as follows: | |
| | Component | Files | Description | | |
| |---|---:|---| | |
| | `evaluation/core/` | 15 | Evaluator construction, schemas, evidence records, scoring orchestration, LLM utilities, task loading, and score aggregation. | | |
| | `evaluation/question_bank/` | 363 | Sixty question-bank YAML files containing 604 unique tasks, their reference-answer fields, 5,288 checklist criteria, and the scientific inputs used by the evaluator. | | |
| | `evaluation/scripts/` | 3 | Entry points for devshell scoring, external-baseline scoring, and audited Bohr CLI receipt collection. | | |
| | `evaluation/validators/` | 23 | Deterministic checks for structures, compositions, densities, distances, planarity, VASP, ABACUS, GPUMD, GROMACS, DP-GEN, JSON/text artifacts, Bohr CLI operations, and run budgets. | | |
| | `evaluation/config.yaml` | 1 | Evaluator defaults and runtime configuration consumed by the scoring engine. | | |
| | `evaluation/__init__.py` | 1 | Python package entry point for the evaluation modules. | | |
| All 604 tasks contain a scoring checklist. The question bank contains 5,288 | |
| criteria across correctness, grounding, and efficiency. Reference-answer fields | |
| are populated for 598 tasks; the six safety-refusal tasks encode their expected | |
| behaviour through their checklists. | |
| ## Scoring scripts | |
| ```text | |
| evaluation/scripts/baseline/score_baseline_tasks.py | |
| evaluation/scripts/devshell/score_devshell_tasks.py | |
| evaluation/scripts/devshell/bohr_cli_audit.py | |
| ``` | |
| - `score_baseline_tasks.py` builds evidence from an external Agent workspace and | |
| retained event stream, then evaluates the task criterion by criterion. | |
| - `score_devshell_tasks.py` reads devshell workspaces, summaries, events, and | |
| process receipts before producing axis scores and per-criterion reasons. | |
| - `bohr_cli_audit.py` wraps the real `bohr` executable during solving and writes | |
| structured `bohr_cli_receipts.jsonl` evidence for platform-operation checks. | |
| ## Scientific validators | |
| The validator collection covers CIF/POSCAR/STRU parsing, composition, density, | |
| atomic distances, ordering, molecular crystals, planarity, VASP INCAR, ABACUS | |
| inputs, GPUMD `run.in`, GROMACS topologies, DP-GEN arguments, KPT files, JSON and | |
| text outputs, Bohr CLI receipts, artifact budgets, token budgets, and turn budgets. | |
| ## Runtime dependencies | |
| The evaluator pins ASE, pymatgen, NumPy, Pydantic, PyYAML, JSON Schema, DP-GEN, | |
| Molcrys-kit, OpenAI, and Requests in `requirements.txt`. `score-config.yaml` | |
| uses equal weights for correctness, grounding, and efficiency and configures the | |
| evaluator LLM as `deepseek-v4-pro` with deterministic temperature `0.0`. | |
| ## Bohr CLI tasks | |
| Fifty-three of the 604 tasks are tagged `bohr-cli`. Their solve environment | |
| must contain an authenticated real Bohr CLI and the evaluation audit launcher | |
| must preserve `bohr_cli_receipts.jsonl`. The published three-Agent runs used | |
| Node.js 22 and `@dptech-corp/bohr-cli@2.5.17`. The devshell scorer reads the | |
| retained receipts as part of the self-hosted evidence package. | |
| ## License | |
| MATTER-owned content in this repository is provided under Apache-2.0. | |