"""Small dependency-free loader for a downloaded ARMBench-VL release.""" from __future__ import annotations import json import re from pathlib import Path from typing import Any, Iterator def _config(root: Path) -> dict[str, dict[str, Any]]: return json.loads((root / "dataset_config.json").read_text(encoding="utf-8")) def load_records(root: str | Path, task: str) -> list[dict[str, Any]]: root = Path(root) task_config = _config(root)[task] annotation_path = root / task_config["annotations"] with annotation_path.open(encoding="utf-8") as handle: return [json.loads(line) for line in handle if line.strip()] def resolve_images( root: str | Path, task: str, record: dict[str, Any] ) -> list[Path]: root = Path(root) resource_root = root / _config(root)[task]["resource_root"] return [resource_root / image for image in record.get("images", [])] def iter_document_pages(root: str | Path, doc_id: str) -> Iterator[Path]: """Yield individual page images in numeric order, excluding composites.""" root = Path(root) resource_root = root / _config(root)["multimodal_long_document_qa"][ "resource_root" ] stem = Path(doc_id).stem pattern = re.compile(rf"^{re.escape(stem)}_(\d+)\.(?:jpg|jpeg|png|webp)$", re.I) pages: list[tuple[int, Path]] = [] for path in resource_root.glob(f"{stem}_*"): match = pattern.match(path.name) if match: pages.append((int(match.group(1)), path)) for _, path in sorted(pages): yield path if __name__ == "__main__": import argparse parser = argparse.ArgumentParser() parser.add_argument("root", type=Path) parser.add_argument( "task", choices=( "fine_grained_perception", "multimodal_long_document_qa", "multimodal_instruction_following", ), ) args = parser.parse_args() records = load_records(args.root, args.task) print(f"{args.task}: {len(records)} examples") print("first image(s):", *resolve_images(args.root, args.task, records[0]))