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"""Run a zero-dependency XL-DocBench release smoke test."""
from __future__ import annotations
import argparse
import json
import sys
from pathlib import Path
from typing import Any
sys.dont_write_bytecode = True
import evaluate as evaluator
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--release-root",
type=Path,
default=Path(__file__).resolve().parent.parent,
help="Release directory; defaults to the parent of code/",
)
return parser.parse_args()
def require(condition: bool, message: str) -> None:
if not condition:
raise ValueError(message)
def read_jsonl(path: Path) -> list[dict[str, Any]]:
rows: list[dict[str, Any]] = []
with path.open("r", encoding="utf-8") as handle:
for line_number, line in enumerate(handle, start=1):
if not line.strip():
continue
value = json.loads(line)
require(isinstance(value, dict), f"Expected object on {path}:{line_number}")
rows.append(value)
return rows
def row_documents(row: dict[str, Any]) -> list[dict[str, Any]]:
if row.get("task_type") == "single_doc":
document = row.get("document")
require(
isinstance(document, dict), f"Missing document in {row.get('question_id')}"
)
return [document]
documents = row.get("documents")
require(
isinstance(documents, list), f"Missing documents in {row.get('question_id')}"
)
return documents
def validate_release(release_root: Path) -> dict[str, int]:
manifest_path = release_root / "manifest.json"
require(manifest_path.is_file(), f"Missing {manifest_path}")
manifest = json.loads(manifest_path.read_text(encoding="utf-8"))
release_files = manifest.get("release_files", {})
paths = {
name: release_root / release_files[name]
for name in ("documents", "single_doc_questions", "cross_doc_questions")
}
for path in paths.values():
require(path.is_file(), f"Missing release file: {path}")
documents = read_jsonl(paths["documents"])
single = read_jsonl(paths["single_doc_questions"])
cross = read_jsonl(paths["cross_doc_questions"])
questions = single + cross
require(len(documents) == manifest["document_count"], "Document count mismatch")
require(len(single) == manifest["single_doc_qa_count"], "Single-doc count mismatch")
require(len(cross) == manifest["cross_doc_qa_count"], "Cross-doc count mismatch")
require(len(questions) == manifest["qa_count"], "QA count mismatch")
document_ids = [str(document.get("document_id") or "") for document in documents]
question_ids = [str(row.get("question_id") or "") for row in questions]
require(all(document_ids), "Empty document_id")
require(all(question_ids), "Empty question_id")
require(len(set(document_ids)) == len(document_ids), "Duplicate document_id")
require(len(set(question_ids)) == len(question_ids), "Duplicate question_id")
known_documents = set(document_ids)
referenced_documents: set[str] = set()
evidence_item_count = 0
for row in questions:
question_id = row["question_id"]
require(
str(row.get("question") or "").strip(), f"Empty question: {question_id}"
)
require(isinstance(row.get("answer"), dict), f"Missing answer: {question_id}")
documents_for_row = row_documents(row)
metadata = row.get("metadata")
require(isinstance(metadata, dict), f"Missing metadata: {question_id}")
require(
metadata.get("n_context_documents") == len(documents_for_row),
f"Context-document count mismatch: {question_id}",
)
actual_evidence_documents = 0
for document in documents_for_row:
document_id = str(document.get("document_id") or "")
require(document_id in known_documents, f"Unknown document: {document_id}")
referenced_documents.add(document_id)
require(
document.get("evidence_page_numbering") == "pdf_index",
f"Missing evidence page semantics: {question_id}",
)
evidence_pages = document.get("evidence_pages")
evidence_items = document.get("evidence_items")
require(
isinstance(evidence_pages, list),
f"Invalid evidence_pages: {question_id}",
)
require(
isinstance(evidence_items, list),
f"Invalid evidence_items: {question_id}",
)
actual_evidence_documents += bool(evidence_pages or evidence_items)
evidence_item_count += len(evidence_items)
for item in evidence_items:
require(
str(item.get("locator") or "").strip(),
f"Empty locator: {question_id}",
)
require(bool(item.get("pages")), f"Empty item pages: {question_id}")
require(
item.get("page_numbering") == "annotator_supplied",
f"Missing item page semantics: {question_id}",
)
require(
item.get("evidence_kind")
in {"supporting_excerpt", "annotator_rationale"},
f"Invalid evidence kind: {question_id}",
)
require(
metadata.get("n_evidence_documents") == actual_evidence_documents,
f"Evidence-document count mismatch: {question_id}",
)
for item in row.get("unassigned_evidence_items", []):
require(
item.get("evidence_kind") == "unassigned_annotation",
f"Invalid unassigned evidence kind: {question_id}",
)
require(referenced_documents == known_documents, "Unreferenced released documents")
require(
evidence_item_count == manifest["evidence_item_count"],
"Evidence-item count mismatch",
)
score_path = release_root / release_files["per_question_scores"]
summary_path = release_root / release_files["score_summary"]
require(score_path.is_file(), f"Missing score file: {score_path}")
require(summary_path.is_file(), f"Missing score summary: {summary_path}")
score_rows = read_jsonl(score_path)
score_ids = [str(row.get("question_id") or "") for row in score_rows]
require(len(score_rows) == len(questions), "Per-question score count mismatch")
require(set(score_ids) == set(question_ids), "Per-question score IDs mismatch")
score_summary = json.loads(summary_path.read_text(encoding="utf-8"))
systems = score_summary.get("systems", {})
require(
len(systems) == manifest["scored_system_count"], "Scored-system count mismatch"
)
expected_systems = set(systems)
for row in score_rows:
row_scores = row.get("scores")
require(isinstance(row_scores, dict), "Invalid per-question scores")
require(set(row_scores) == expected_systems, "Per-question system mismatch")
for metrics in row_scores.values():
require(isinstance(metrics, dict), "Invalid metric record")
for metric in ("accuracy", "token_f1", "anls"):
value = metrics.get(metric)
require(
isinstance(value, (int, float)) and 0 <= value <= 1,
f"Invalid {metric} score",
)
return {
"documents": len(documents),
"single_doc": len(single),
"cross_doc": len(cross),
"questions": len(questions),
"evidence_items": evidence_item_count,
"systems": len(systems),
}
def evaluate_examples(code_dir: Path) -> dict[str, float | int]:
examples = code_dir / "examples"
gold = evaluator.load_gold_records([examples / "gold_sample.jsonl"])
predictions, statuses = evaluator.load_predictions(
examples / "predictions_sample.jsonl"
)
report = evaluator.evaluate(gold, predictions, statuses)
overall = report["overall"]
require(report["evaluated_count"] == 5, "Example evaluation count mismatch")
require(overall["accuracy"] == 1.0, "Example Accuracy regression")
require(overall["token_f1"] == 1.0, "Example Token F1 regression")
require(overall["anls"] == 1.0, "Example ANLS regression")
return overall
def main() -> None:
args = parse_args()
release_root = args.release_root.resolve()
counts = validate_release(release_root)
metrics = evaluate_examples(Path(__file__).resolve().parent)
print("XL-DocBench smoke test: PASS")
print(
f" data: {counts['documents']:,} documents, "
f"{counts['questions']:,} QA "
f"({counts['single_doc']:,} single + {counts['cross_doc']:,} cross)"
)
print(f" evidence items: {counts['evidence_items']:,}")
print(f" per-question scores: {counts['systems']} systems")
print(
f" sample metrics: Accuracy={metrics['accuracy'] * 100:.1f}, "
f"F1={metrics['token_f1'] * 100:.1f}, ANLS={metrics['anls'] * 100:.1f}"
)
if __name__ == "__main__":
try:
main()
except (KeyError, OSError, TypeError, ValueError, json.JSONDecodeError) as exc:
print(f"XL-DocBench smoke test: FAIL — {exc}", file=sys.stderr)
sys.exit(1)
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