"""Minimal demo of loading SimVerse from HuggingFace and verifying a record. Run from inside the dataset directory: cd hf_dataset python example_load.py Or after `huggingface-cli download /simverse --local-dir ./simverse`: python simverse/example_load.py This script: 1. Loads each of the 5 task configs via `datasets.load_dataset(...)`. 2. Prints the first record's prompt + answer + media path. 3. Verifies the referenced image/video file is reachable on disk. """ from __future__ import annotations import json import os from pathlib import Path CONFIGS = ("voi", "cube1", "cube2", "lamp", "cutrope") ROOT = Path(__file__).resolve().parent def _resolve_media_path(record: dict, config: str) -> tuple[str, list[Path]]: """Pick the canonical media field per config and return (label, list of paths).""" if config == "voi": rel = record.get("images_relative_to_config", {}) or {} target = rel.get("target") shapes = list((rel.get("shapes") or {}).values()) return ("target image + shape images", [ ROOT / config / target if target else None, *(ROOT / config / s for s in shapes if s), ]) if config == "cube1": ip = record.get("image_paths", {}) or {} return ("blank net + path sequence", [ ROOT / config / ip.get("blank_net_image", ""), ROOT / config / ip.get("path_sequence_image", ""), ]) if config == "cube2": rel = record.get("images_relative_to_config", {}) or {} return ("initial net + target top face", [ ROOT / config / rel.get("initialNetImage", ""), ROOT / config / rel.get("targetTopFaceImage", ""), ]) if config == "lamp": rel = record.get("images_relative_to_config", {}) or {} return ("workspace image", [ ROOT / config / rel.get("image", ""), ]) if config == "cutrope": rel = record.get("video_relative_to_config", {}) or {} return ("gameplay video", [ ROOT / config / rel.get("path", ""), ]) return ("?", []) def main() -> None: for config in CONFIGS: path = ROOT / config / "test.jsonl" if not path.exists(): print(f"[{config}] missing {path}") continue with path.open(encoding="utf-8") as fh: first = json.loads(fh.readline()) total = sum(1 for _ in fh) + 1 sample_id = first.get("__sample_id__") prompt_sys = (first.get("prompt") or {}).get("system", "") prompt_usr = (first.get("prompt") or {}).get("user", "") answer = first.get("answer") label, media_paths = _resolve_media_path(first, config) print(f"=== {config} ===") print(f" records: {total}") print(f" sample_id: {sample_id}") print(f" prompt.system: {len(prompt_sys)} chars") print(f" prompt.user: {len(prompt_usr)} chars") print(f" answer keys: {sorted((answer or {}).keys())}") print(f" {label}:") for media in media_paths: if media is None: continue ok = "OK" if media.is_file() else "MISSING" print(f" {ok} {media.relative_to(ROOT)}") print() if __name__ == "__main__": main()