Datasets:
Formats:
json
Languages:
English
Size:
< 1K
Tags:
mathematics
information-theory
experimental-design
memory-compression
linear-algebra
quantum-information
File size: 1,756 Bytes
9552b49 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | """Normalize existing OQAIVAEI release arrays; no research calculations run here."""
from __future__ import annotations
import json
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
def write_jsonl(name: str, rows: list[dict]) -> None:
target = ROOT / "data" / f"{name}.jsonl"
target.parent.mkdir(parents=True, exist_ok=True)
text = "".join(json.dumps(row, ensure_ascii=False, sort_keys=True, allow_nan=False) + "\n" for row in rows)
target.write_text(text, encoding="utf-8", newline="\n")
print(f"{target.relative_to(ROOT)}: {len(rows)} rows")
def main() -> None:
claims = json.loads((ROOT / "research/docs/claims.json").read_text(encoding="utf-8"))["claims"]
normalized = []
for c in claims:
normalized.append({
"id": c["id"], "title": c["title"], "contract": c["contract"],
"proof_status": c["proof_status"], "novelty_status": c["novelty_status"],
"source": "research/" + c["source"],
"labels": [p["label"] for p in c["locations"]],
"theorem_numbers": [p["number"] for p in c["locations"]],
"printed_pages": [int(p["printed_page"]) for p in c["locations"]],
"evidence_files": ["research/" + p for p in c["evidence_files"]],
})
family = json.loads((ROOT / "research/results/announcement_family.json").read_text(encoding="utf-8"))
design = json.loads((ROOT / "research/results/codesign_results.json").read_text(encoding="utf-8"))
write_jsonl("claims", normalized)
write_jsonl("announcement_family", family["family"])
write_jsonl("memory_frontier", design["memory_frontier"])
write_jsonl("divisible_blocks", design["divisible_blocks"])
if __name__ == "__main__":
main()
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