| """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])) |
|
|
