| """Validate annotation counts, label distributions, and local resources.""" |
|
|
| from __future__ import annotations |
|
|
| import json |
| import sqlite3 |
| import sys |
| from collections import Counter |
| from pathlib import Path |
|
|
| from load_armbench_vl import iter_document_pages, load_records, resolve_images |
|
|
|
|
| def main(root: Path) -> None: |
| config = json.loads((root / "dataset_config.json").read_text(encoding="utf-8")) |
| errors: list[str] = [] |
|
|
| for task, expected in config.items(): |
| records = load_records(root, task) |
| if len(records) != expected["expected_examples"]: |
| errors.append( |
| f"{task}: expected {expected['expected_examples']} examples, " |
| f"found {len(records)}" |
| ) |
|
|
| actual_tags = Counter(record.get("rm_tag") for record in records) |
| if dict(actual_tags) != expected["rm_tag_counts"]: |
| errors.append( |
| f"{task}: expected rm_tag counts {expected['rm_tag_counts']}, " |
| f"found {dict(actual_tags)}" |
| ) |
|
|
| for record in records: |
| for image in resolve_images(root, task, record): |
| if not image.is_file(): |
| errors.append(f"{task}: missing image {image}") |
|
|
| if task == "multimodal_long_document_qa": |
| doc_ids = {record["doc_id"] for record in records} |
| for doc_id in doc_ids: |
| if not list(iter_document_pages(root, doc_id)): |
| errors.append(f"{task}: no retrieval pages for {doc_id}") |
|
|
| index_db = root / expected["retrieval_index"] / "chroma.sqlite3" |
| if not index_db.is_file(): |
| errors.append(f"{task}: missing retrieval index {index_db}") |
| else: |
| connection = sqlite3.connect(f"file:{index_db}?mode=ro", uri=True) |
| collections = { |
| row[0] for row in connection.execute("SELECT name FROM collections") |
| } |
| if expected["retrieval_collection"] not in collections: |
| errors.append( |
| f"{task}: missing Chroma collection " |
| f"{expected['retrieval_collection']}" |
| ) |
| indexed_docs = { |
| row[0] |
| for row in connection.execute( |
| "SELECT DISTINCT string_value FROM embedding_metadata " |
| "WHERE key = 'source'" |
| ) |
| } |
| expected_docs = {Path(doc_id).stem for doc_id in doc_ids} |
| missing_docs = expected_docs - indexed_docs |
| if missing_docs: |
| errors.append( |
| f"{task}: {len(missing_docs)} documents are missing from " |
| "the retrieval index" |
| ) |
| connection.close() |
|
|
| print(f"validated {task}: {len(records)} examples") |
|
|
| if errors: |
| print("\n".join(errors[:100]), file=sys.stderr) |
| raise SystemExit(f"validation failed with {len(errors)} error(s)") |
| print("ARMBench-VL validation passed: 1,499 examples") |
|
|
|
|
| if __name__ == "__main__": |
| main(Path(sys.argv[1] if len(sys.argv) > 1 else ".").resolve()) |
|
|
