Datasets:
Tasks:
Visual Question Answering
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
Tags:
table-question-answering
table-understanding
markup-driven-understanding
visual-document-understanding
| from __future__ import annotations | |
| import argparse | |
| import json | |
| import subprocess | |
| import sys | |
| from pathlib import Path | |
| def main() -> int: | |
| parser = argparse.ArgumentParser(description="Generate benchmark-like HighlightBench synthetic tables.") | |
| parser.add_argument("--out-dir", default="benchmark_like_demo") | |
| parser.add_argument("--count", type=int, default=1) | |
| parser.add_argument("--seed", type=int, default=7) | |
| args = parser.parse_args() | |
| here = Path(__file__).resolve().parent | |
| cmd = [ | |
| sys.executable, | |
| str(here / "paper_table.py"), | |
| "--out-dir", args.out_dir, | |
| "--count", str(args.count), | |
| "--seed", str(args.seed), | |
| "--canvas-width", "1600", | |
| "--canvas-height", "900", | |
| "--table-shape-mode", "mixed", | |
| "--top-levels", "random", | |
| "--left-levels", "random", | |
| "--line-style", "sparse-grid", | |
| "--block-sep", | |
| "--highlight", | |
| "--highlight-mode", "multi", | |
| "--highlight-rate", "0.16", | |
| "--underline-image-prob", "0.7", | |
| "--underline-rate", "0.08", | |
| "--bold-image-prob", "0.7", | |
| "--bold-rate", "0.06", | |
| "--missing-prob", "0.05", | |
| "--metric-arrow-prob", "0.35", | |
| "--qa-cell-lookup", | |
| "--qa-col-argmax-item", | |
| "--qa-topk", | |
| "--qa-topk-cols", "1", | |
| "--qa-highlight-neighbor", | |
| "--qa-same-color", | |
| "--qa-underline", | |
| "--qa-bold", | |
| "--qa-missing-list", | |
| "--qa-filter-highlight-threshold", | |
| "--qa-filter-samples", "1", | |
| "--gt-format", "jsonl", | |
| ] | |
| subprocess.check_call(cmd) | |
| out = Path(args.out_dir) | |
| qa_path = out / "qa.jsonl" | |
| compact_path = out / "qa_compact.jsonl" | |
| if qa_path.exists(): | |
| with qa_path.open(encoding="utf-8") as src, compact_path.open("w", encoding="utf-8") as dst: | |
| for line in src: | |
| if not line.strip(): | |
| continue | |
| row = json.loads(line) | |
| compact = { | |
| "qid": row.get("qid"), | |
| "image_path": row.get("image_path"), | |
| "question": row.get("question"), | |
| "answer": row.get("answer"), | |
| } | |
| dst.write(json.dumps(compact, ensure_ascii=False, separators=(",", ":")) + "\n") | |
| print(out / "images" / "img_00001.png") | |
| print(compact_path) | |
| print(out / "gt.jsonl") | |
| return 0 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |