japan-ocr-mini-benchmark / docs /usage /manifest_loading.md
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Manifest Loading

Use manifest.jsonl as the entry point for the v0.2.0 payload.

Each line is one JSON object. Artifact paths inside each row are relative to the v0.2.0 data root.

Data Roots

GitHub public payload: release_v0.2.0/data/v0.2.0
Hugging Face payload: data/v0.2.0
Local sibling mirror: ../hf_dataset_upload/data/v0.2.0

Run The Example

From this development workspace:

python .\examples\load_v020_manifest.py --data-root "..\hf_dataset_upload\data\v0.2.0" --limit 5 --show-paths

The script checks that every listed JSON and PNG artifact exists, then prints a short summary of template counts, noisy profile counts, and the first records.

Minimal Python Pattern

from pathlib import Path
import json

data_root = Path("release_v0.2.0/data/v0.2.0")
manifest_path = data_root / "manifest.jsonl"

with manifest_path.open("r", encoding="utf-8") as f:
    rows = [json.loads(line) for line in f if line.strip()]

first = rows[0]
noisy_image_path = data_root / first["noisy_image"]
source_json_path = data_root / first["source_json"]

print(first["document_id"])
print(noisy_image_path)
print(source_json_path)

Important Notes

  • Use manifest.jsonl or the publication payload directories as the current v0.2.0 source of truth.
  • Do not treat 05_generation/generated_* as the public payload index; those folders can contain intermediate generation artifacts.
  • The legacy 5-receipt prototype is preserved under legacy/initial_5_receipt_sample/ for historical comparison only.