| """Build clean anonymous MemAudit submission artifacts. |
| |
| This script creates two local folders: |
| |
| * ``memaudit_submission_package/code``: executable code, paper sources, tests, |
| docs, and figures. |
| * ``memaudit_submission_package/dataset``: curated data/results needed for the |
| E&D dataset URL and Croissant metadata. |
| |
| It intentionally fails if the output directory already exists so we do not |
| accidentally delete or overwrite local work. |
| """ |
|
|
| from __future__ import annotations |
|
|
| import json |
| import hashlib |
| import shutil |
| from pathlib import Path |
|
|
|
|
| ROOT = Path(__file__).resolve().parents[1] |
| OUT = ROOT / "memaudit_submission_package" |
| CODE = OUT / "code" |
| DATASET = OUT / "dataset" |
|
|
|
|
| CODE_FILES = [ |
| "README.md", |
| "REPRODUCIBILITY.md", |
| "artifact_manifest.md", |
| "EVALUATION_CARD.md", |
| "requirements.txt", |
| "requirements-api.txt", |
| "requirements-milp.txt", |
| "run_oraclemem_mvp.py", |
| "test_oraclemem.py", |
| "main.tex", |
| "checklist.tex", |
| "references.bib", |
| "neurips_2026.sty", |
| "main.pdf", |
| ] |
|
|
| CODE_DIRS = [ |
| "oraclemem", |
| "figures", |
| ] |
|
|
| CODE_GLOBS = [ |
| "scripts/*.py", |
| "llm_memory_validation/*.py", |
| "llm_memory_validation/patches/*", |
| ] |
|
|
| DATASET_PATHS = [ |
| "oraclemem_runs/exact_500", |
| "oraclemem_runs/stress_exact_500", |
| "oraclemem_runs/milp_verify_100_agent4", |
| "llm_memory_validation/oraclemem_natural_200_gemini_v2/REPORT.md", |
| "llm_memory_validation/oraclemem_natural_200_gemini_v2/summary.json", |
| "llm_memory_validation/oraclemem_natural_200_gemini_v2/summary.md", |
| "llm_memory_validation/oraclemem_natural_200_gemini_v2/raw_results.jsonl", |
| "llm_memory_validation/oraclemem_natural_200_gemini_v2/resolved_examples.jsonl", |
| "llm_memory_validation/oraclemem_natural_200_gemini_v2/coverage_resolved_summary.json", |
| "llm_memory_validation/oraclemem_natural_200_gemini_v2/coverage_resolution_report.md", |
| "llm_memory_validation/oraclemem_natural_200_gemini_v2/run_manifest.json", |
| "llm_memory_validation/oraclemem_natural_200_gemini_v2/coverage_package", |
| "llm_memory_validation/oraclemem_natural_200_gemini_v2/coverage_audit", |
| "llm_memory_validation/natural_adjudicated_100_gemini_flash/REPORT.md", |
| "llm_memory_validation/natural_adjudicated_100_gemini_flash/summary.json", |
| "llm_memory_validation/natural_adjudicated_100_gemini_flash/summary.md", |
| "llm_memory_validation/natural_adjudicated_100_gemini_flash/raw_results.jsonl", |
| "llm_memory_validation/natural_adjudicated_100_gemini_flash/adjudication_summary.json", |
| "llm_memory_validation/natural_adjudicated_100_gemini_flash/adjudication_decisions.jsonl", |
| "llm_memory_validation/natural_adjudicated_100_gemini_flash/selected_queries.jsonl", |
| "llm_memory_validation/natural_adjudicated_100_gemini_flash/coverage_package", |
| "llm_memory_validation/natural_adjudicated_100_gemini_flash/coverage_audit", |
| "llm_memory_validation/natural_spotcheck_30_gemini31_flash_lite", |
| "llm_memory_validation/human_style_examples/README.md", |
| "llm_memory_validation/human_style_examples/examples_100.jsonl", |
| "llm_memory_validation/human_style_examples/eval_package_100", |
| "llm_memory_validation/human_style_examples/coverage_package", |
| "llm_memory_validation/human_style_examples/coverage_package_audit", |
| "llm_memory_validation/human_style_examples/writer_adapters", |
| "llm_memory_validation/human_style_examples/learned_writer_transfer", |
| "llm_memory_validation/mem0_rescore_adjudicated100_gemini_flash", |
| "llm_memory_validation/natural_adjudicated_100_gemini_flash/faithful_memgpt_letta_union", |
| "llm_memory_validation/natural_adjudicated_100_gemini_flash/actual_letta_openrouter_gemini_passage_87", |
| "llm_memory_validation/natural_adjudicated_100_gemini_flash/actual_amem_gemini_flash_87", |
| "llm_memory_validation/longmemeval_focus_report_core4", |
| "llm_memory_validation/longmemeval_reader_api_gpt55_answer_supported_focus_full/REPORT.md", |
| "llm_memory_validation/longmemeval_reader_api_gpt55_answer_supported_focus_full/summary.json", |
| ] |
|
|
| EXCLUDE_NAMES = { |
| "__pycache__", |
| ".pytest_cache", |
| "openrouter_cache_gemini_natural_oraclemem.json", |
| "openrouter_cache_adjudication.json", |
| "api.env", |
| } |
|
|
|
|
| def copy_path(src_rel: str, dst_root: Path) -> None: |
| src = ROOT / src_rel |
| if not src.exists(): |
| return |
| dst = dst_root / src_rel |
| dst.parent.mkdir(parents=True, exist_ok=True) |
| if src.is_dir(): |
| shutil.copytree(src, dst, ignore=ignore) |
| else: |
| shutil.copy2(src, dst) |
|
|
|
|
| def ignore(_dir: str, names: list[str]) -> set[str]: |
| ignored = set() |
| for name in names: |
| if name in EXCLUDE_NAMES or name.endswith((".pyc", ".pyo", ".log")): |
| ignored.add(name) |
| return ignored |
|
|
|
|
| def write_readmes() -> None: |
| (OUT / "README.md").write_text( |
| "# MemAudit Anonymous Submission Package\n\n" |
| "This folder is split into `code/` and `dataset/`.\n\n" |
| "- `code/` contains the executable benchmark/evaluation artifact, paper sources, tests, and figure scripts.\n" |
| "- `dataset/` contains the curated package/result artifacts referenced by the paper and Croissant metadata.\n\n" |
| "Do not upload local API keys or uncurated review notes. The package was generated by " |
| "`python scripts/prepare_submission_artifacts.py`.\n", |
| encoding="utf-8", |
| ) |
| (CODE / "LICENSE").write_text( |
| "MIT License\n\n" |
| "Copyright (c) 2026 Anonymous\n\n" |
| "Permission is hereby granted, free of charge, to any person obtaining a copy\n" |
| "of this software and associated documentation files (the \"Software\"), to deal\n" |
| "in the Software without restriction, including without limitation the rights\n" |
| "to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n" |
| "copies of the Software, and to permit persons to whom the Software is\n" |
| "furnished to do so, subject to the following conditions:\n\n" |
| "The above copyright notice and this permission notice shall be included in all\n" |
| "copies or substantial portions of the Software.\n\n" |
| "THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n" |
| "IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n" |
| "FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n" |
| "AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n" |
| "LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n" |
| "OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n" |
| "SOFTWARE.\n", |
| encoding="utf-8", |
| ) |
| code_readme = (CODE / "README.md").read_text(encoding="utf-8") |
| if code_readme.startswith("---"): |
| code_readme = code_readme.split("---", 2)[2].lstrip() |
| (CODE / "README.md").write_text( |
| "---\n" |
| "license: mit\n" |
| "pretty_name: MemAudit Code Artifact\n" |
| "tags:\n" |
| "- llm-memory\n" |
| "- benchmark\n" |
| "- evaluation\n" |
| "- reproducibility\n" |
| "---\n\n" |
| + code_readme, |
| encoding="utf-8", |
| ) |
| (DATASET / "README.md").write_text( |
| "---\n" |
| "license: cc-by-4.0\n" |
| "pretty_name: MemAudit Benchmark Artifacts\n" |
| "task_categories:\n" |
| "- question-answering\n" |
| "- text-retrieval\n" |
| "tags:\n" |
| "- llm-memory\n" |
| "- benchmark\n" |
| "- evaluation\n" |
| "- croissant\n" |
| "---\n\n" |
| "# MemAudit Dataset Artifact\n\n" |
| "This dataset contains finite memory-writing packages, exact/verified solver outputs, " |
| "model-adjudicated natural support-slice packages, human-edited fictional seed packages, " |
| "and exported-system diagnostic results for Mem0, Letta, and A-Mem. It is intended to " |
| "support the NeurIPS 2026 E&D submission `MemAudit: An Exact-Oracle Evaluation Protocol " |
| "for Budgeted Long-Term LLM Memory Writing`.\n\n" |
| "Historical directory names may contain `oraclemem`; paper-facing terminology is `MemAudit`.\n", |
| encoding="utf-8", |
| ) |
| (DATASET / "LICENSE").write_text( |
| "MemAudit Dataset Artifact License\n\n" |
| "SPDX-License-Identifier: CC-BY-4.0\n\n" |
| "The dataset artifacts in this folder are released under the Creative Commons\n" |
| "Attribution 4.0 International License: https://creativecommons.org/licenses/by/4.0/\n\n" |
| "This license applies to the curated MemAudit package metadata, synthetic\n" |
| "examples, generated benchmark packages, and released diagnostic outputs. Source\n" |
| "benchmark excerpts and third-party system names remain subject to their original\n" |
| "licenses and terms where applicable.\n", |
| encoding="utf-8", |
| ) |
|
|
|
|
| def write_dataset_manifest() -> str: |
| """Write a compact machine-readable manifest used by Croissant metadata.""" |
| records = [ |
| { |
| "artifact_path": "oraclemem_runs/exact_500", |
| "artifact_type": "controlled_exact_packages", |
| "budget": None, |
| "objective_value": None, |
| "ratio": None, |
| }, |
| { |
| "artifact_path": "oraclemem_runs/validity_500", |
| "artifact_type": "validity_stress_packages", |
| "budget": None, |
| "objective_value": None, |
| "ratio": None, |
| }, |
| { |
| "artifact_path": "llm_memory_validation/natural_adjudicated_100_gemini_flash", |
| "artifact_type": "natural_support_slices", |
| "budget": None, |
| "objective_value": None, |
| "ratio": None, |
| }, |
| { |
| "artifact_path": "llm_memory_validation/mem0_rescore_adjudicated100_gemini_flash", |
| "artifact_type": "exported_system_diagnostics", |
| "budget": None, |
| "objective_value": None, |
| "ratio": None, |
| }, |
| { |
| "artifact_path": "llm_memory_validation/natural_adjudicated_100_gemini_flash/actual_letta_openrouter_gemini_passage_87", |
| "artifact_type": "exported_system_diagnostics", |
| "budget": None, |
| "objective_value": None, |
| "ratio": None, |
| }, |
| { |
| "artifact_path": "README_REPO.md", |
| "artifact_type": "documentation", |
| "budget": None, |
| "objective_value": None, |
| "ratio": None, |
| }, |
| ] |
| path = DATASET / "artifact_records.jsonl" |
| path.write_text( |
| "".join(json.dumps(record, ensure_ascii=False) + "\n" for record in records), |
| encoding="utf-8", |
| ) |
| return hashlib.sha256(path.read_bytes()).hexdigest() |
|
|
|
|
| def write_croissant_placeholder() -> None: |
| |
| |
| manifest_sha256 = write_dataset_manifest() |
| metadata = { |
| "@context": { |
| "@language": "en", |
| "@vocab": "https://schema.org/", |
| "citeAs": "cr:citeAs", |
| "column": "cr:column", |
| "conformsTo": "dct:conformsTo", |
| "sc": "https://schema.org/", |
| "cr": "http://mlcommons.org/croissant/", |
| "data": {"@id": "cr:data", "@type": "@json"}, |
| "dataType": {"@id": "cr:dataType", "@type": "@vocab"}, |
| "dct": "http://purl.org/dc/terms/", |
| "equivalentProperty": "cr:equivalentProperty", |
| "examples": {"@id": "cr:examples", "@type": "@json"}, |
| "extract": "cr:extract", |
| "field": "cr:field", |
| "fileObject": "cr:fileObject", |
| "fileProperty": "cr:fileProperty", |
| "fileSet": "cr:fileSet", |
| "format": "cr:format", |
| "includes": "cr:includes", |
| "isLiveDataset": "cr:isLiveDataset", |
| "jsonPath": "cr:jsonPath", |
| "key": "cr:key", |
| "md5": "cr:md5", |
| "parentField": "cr:parentField", |
| "path": "cr:path", |
| "rai": "http://mlcommons.org/croissant/RAI/", |
| "recordSet": "cr:recordSet", |
| "references": "cr:references", |
| "repeated": "cr:repeated", |
| "replace": "cr:replace", |
| "regex": "cr:regex", |
| "samplingRate": "cr:samplingRate", |
| "separator": "cr:separator", |
| "source": "cr:source", |
| "subField": "cr:subField", |
| "transform": "cr:transform", |
| "prov": "http://www.w3.org/ns/prov#", |
| }, |
| "@type": "sc:Dataset", |
| "name": "MemAudit benchmark artifacts", |
| "description": ( |
| "Finite package artifacts for exact-oracle evaluation of budgeted long-term LLM " |
| "memory writing, including exact-small packages, validity stress packages, " |
| "model-adjudicated natural support slices, human-edited fictional seed examples, " |
| "and exported-system diagnostic results." |
| ), |
| "url": "TO_BE_FILLED_WITH_ANONYMIZED_DATASET_URL", |
| "license": "https://creativecommons.org/licenses/by/4.0/", |
| "version": "0.1.0", |
| "datePublished": "2026-05-03", |
| "citeAs": "Anonymous. MemAudit: An Exact-Oracle Evaluation Protocol for Budgeted Long-Term LLM Memory Writing. NeurIPS 2026 submission artifact.", |
| "creator": [{"@type": "Organization", "name": "Anonymous"}], |
| "keywords": [ |
| "LLM memory", |
| "long-term memory", |
| "benchmark", |
| "exact oracle", |
| "budgeted memory writing", |
| ], |
| "conformsTo": "http://mlcommons.org/croissant/1.1", |
| "rai:dataLimitations": ( |
| "Scores are package-conditional and do not measure unconstrained end-to-end assistant " |
| "quality. Natural support-slice labels are model-adjudicated with audit hooks; the " |
| "human-edited seed package is fictional and schema-validating rather than a human-subject dataset." |
| ), |
| "rai:dataBiases": ( |
| "Synthetic generators emphasize memory-writing, update, and validity-state phenomena. " |
| "Support-sliced natural packages reflect the source benchmark and model-adjudication pipeline." |
| ), |
| "rai:personalSensitiveInformation": ( |
| "The synthetic and human-edited seed examples are fictional. Natural support-slice artifacts " |
| "derive from benchmark text and should be used for evaluation research, not for profiling individuals." |
| ), |
| "rai:dataUseCases": ( |
| "Intended for evaluating write-time memory policies under finite candidate sets, costs, " |
| "coverage matrices, and exact or certified budgeted optima. Not intended as a deployed " |
| "personal-memory product or as a standalone measure of assistant quality." |
| ), |
| "rai:dataSocialImpact": ( |
| "The artifact can improve transparency of long-term memory systems by separating writing, " |
| "retrieval, and reader failures. Potential misuse includes optimizing systems to retain " |
| "sensitive personal information; validity, deletion, and abstention units are included as " |
| "mitigation-oriented diagnostics." |
| ), |
| "rai:hasSyntheticData": True, |
| "prov:wasDerivedFrom": [ |
| "Synthetic MemAudit generators", |
| "LongMemEval-style support slices", |
| "Public memory-system exports and diagnostics", |
| ], |
| "prov:wasGeneratedBy": ( |
| "Generated by deterministic package generators and documented API/model-adjudication scripts. " |
| "See README.md, REPRODUCIBILITY.md, artifact_manifest.md, and run manifests." |
| ), |
| "distribution": [ |
| { |
| "@type": "cr:FileObject", |
| "@id": "artifact_records_jsonl", |
| "name": "artifact_records_jsonl", |
| "description": "Compact manifest of the main MemAudit dataset artifact groups.", |
| "contentUrl": "TO_BE_FILLED_WITH_ANONYMIZED_DATASET_URL/resolve/main/artifact_records.jsonl", |
| "encodingFormat": "application/jsonlines", |
| "sha256": manifest_sha256, |
| } |
| ], |
| "recordSet": [ |
| { |
| "@type": "cr:RecordSet", |
| "@id": "package_results", |
| "name": "Package and result artifacts", |
| "description": "JSONL/JSON/Markdown records for exact package scoring and exported-system diagnostics.", |
| "field": [ |
| { |
| "@type": "cr:Field", |
| "@id": "artifact_path", |
| "name": "artifact_path", |
| "dataType": "sc:Text", |
| "source": {"fileObject": {"@id": "artifact_records_jsonl"}, "extract": {"jsonPath": "$.artifact_path"}}, |
| }, |
| { |
| "@type": "cr:Field", |
| "@id": "artifact_type", |
| "name": "artifact_type", |
| "dataType": "sc:Text", |
| "source": {"fileObject": {"@id": "artifact_records_jsonl"}, "extract": {"jsonPath": "$.artifact_type"}}, |
| }, |
| { |
| "@type": "cr:Field", |
| "@id": "budget", |
| "name": "budget", |
| "dataType": "sc:Float", |
| "source": {"fileObject": {"@id": "artifact_records_jsonl"}, "extract": {"jsonPath": "$.budget"}}, |
| }, |
| { |
| "@type": "cr:Field", |
| "@id": "objective_value", |
| "name": "objective_value", |
| "dataType": "sc:Float", |
| "source": {"fileObject": {"@id": "artifact_records_jsonl"}, "extract": {"jsonPath": "$.objective_value"}}, |
| }, |
| { |
| "@type": "cr:Field", |
| "@id": "ratio", |
| "name": "ratio", |
| "dataType": "sc:Float", |
| "source": {"fileObject": {"@id": "artifact_records_jsonl"}, "extract": {"jsonPath": "$.ratio"}}, |
| }, |
| ], |
| } |
| ], |
| } |
| (DATASET / "croissant_metadata.json").write_text( |
| json.dumps(metadata, indent=2, ensure_ascii=False) + "\n", |
| encoding="utf-8", |
| ) |
|
|
|
|
| def main() -> None: |
| if OUT.exists(): |
| raise SystemExit(f"Refusing to overwrite existing output: {OUT}") |
| CODE.mkdir(parents=True) |
| DATASET.mkdir(parents=True) |
|
|
| for rel in CODE_FILES: |
| copy_path(rel, CODE) |
| for rel in CODE_DIRS: |
| copy_path(rel, CODE) |
| for pattern in CODE_GLOBS: |
| for src in ROOT.glob(pattern): |
| if src.is_file(): |
| copy_path(str(src.relative_to(ROOT)), CODE) |
|
|
| for rel in DATASET_PATHS: |
| copy_path(rel, DATASET) |
|
|
| write_readmes() |
| shutil.copy2(ROOT / "README.md", DATASET / "README_REPO.md") |
| shutil.copy2(ROOT / "REPRODUCIBILITY.md", DATASET / "REPRODUCIBILITY.md") |
| shutil.copy2(ROOT / "artifact_manifest.md", DATASET / "artifact_manifest.md") |
| shutil.copy2(ROOT / "EVALUATION_CARD.md", DATASET / "EVALUATION_CARD.md") |
| write_croissant_placeholder() |
| print(f"Wrote {OUT}") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
