Datasets:
Update Ropedia Xperience-10M derived artifacts
Browse files
docs/data/publication_audit.json
CHANGED
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@@ -1,6 +1,6 @@
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{
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"status": "pass",
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-
"generated_at_utc": "2026-06-08T12:
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"checks": [
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{
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"name": "required_publication_assets_present",
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{
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"status": "pass",
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"generated_at_utc": "2026-06-08T12:49:15+00:00",
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"checks": [
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{
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"name": "required_publication_assets_present",
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scripts/publish_hf_bundles.py
CHANGED
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@@ -92,6 +92,16 @@ ARTIFACT_VIEWER_CONFIG = """configs:
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- split: public_sample
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path: viewer/episode_windows.jsonl
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"""
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SPACE_CARD_METADATA = """---
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title: Ropedia Xperience-10M Task Suite
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@@ -280,6 +290,22 @@ def ensure_repo_card_metadata(readme_path: Path, metadata: str) -> None:
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readme_path.write_text(metadata.rstrip() + "\n\n" + readme, encoding="utf-8")
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def parse_args() -> argparse.Namespace:
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--hf-root", type=Path, default=DEFAULT_HF_ROOT)
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@@ -412,6 +438,7 @@ def main() -> int:
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ensure_artifact_dataset_viewer_config(hf_root)
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ensure_repo_card_metadata(hf_root / "space/README.md", SPACE_CARD_METADATA)
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ensure_repo_card_metadata(hf_root / "model/README.md", BASELINE_MODEL_CARD_METADATA)
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token = args.token or get_token() or getpass.getpass("HF token: ").strip()
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if not token:
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- split: public_sample
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path: viewer/episode_windows.jsonl
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"""
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+
ENHANCEMENT_MARKER = "docs/data/task_suite_enhancement_128.json"
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ENHANCEMENT_CARD_BLOCK = """
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## 128-Episode Enhancement Pack
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The no-new-episode suite push is recorded in `TASK_SUITE_ENHANCEMENT_128.md`
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and `docs/data/task_suite_enhancement_128.json`. It recommends
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`multiscale_20s10_40s20_80s40`, hierarchical action/subtask targets,
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label-normalized scoring, and compact raw-feature shards before adding more
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episodes.
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"""
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SPACE_CARD_METADATA = """---
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title: Ropedia Xperience-10M Task Suite
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readme_path.write_text(metadata.rstrip() + "\n\n" + readme, encoding="utf-8")
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def ensure_enhancement_card_links(hf_root: Path) -> None:
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for relative_path in ("artifacts/README.md", "model/README.md"):
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path = hf_root / relative_path
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if not path.exists():
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continue
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text = path.read_text(encoding="utf-8")
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if ENHANCEMENT_MARKER in text:
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continue
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insert_before = "\n## Dataset Boundary" if relative_path.startswith("artifacts/") else "\n## Start Here"
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if insert_before in text:
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text = text.replace(insert_before, ENHANCEMENT_CARD_BLOCK + insert_before, 1)
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else:
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text = text.rstrip() + "\n" + ENHANCEMENT_CARD_BLOCK
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path.write_text(text, encoding="utf-8")
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def parse_args() -> argparse.Namespace:
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--hf-root", type=Path, default=DEFAULT_HF_ROOT)
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ensure_artifact_dataset_viewer_config(hf_root)
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ensure_repo_card_metadata(hf_root / "space/README.md", SPACE_CARD_METADATA)
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ensure_repo_card_metadata(hf_root / "model/README.md", BASELINE_MODEL_CARD_METADATA)
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ensure_enhancement_card_links(hf_root)
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token = args.token or get_token() or getpass.getpass("HF token: ").strip()
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if not token:
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scripts/sync_hf_publish_mirrors.py
CHANGED
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@@ -22,6 +22,16 @@ STALE_MIRROR_FILES = [
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"artifacts/scripts/omni/collect_qwen3_v4_publication_artifacts.py",
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"model/scripts/omni/collect_qwen3_v4_publication_artifacts.py",
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]
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def load_parity_module():
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@@ -66,6 +76,26 @@ def prune_stale_files(hf_root: Path, *, dry_run: bool) -> list[str]:
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return removed
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def main() -> int:
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args = parse_args()
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hf_root = args.hf_root.expanduser().resolve()
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@@ -145,12 +175,14 @@ def main() -> int:
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dry_run=args.dry_run,
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)
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summary = {
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"status": "dry_run" if args.dry_run else "synced",
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"hf_root": hf_root.as_posix(),
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"copy_count": len(copied),
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"removed_stale_count": len(removed),
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"removed_stale": removed,
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"records": copied,
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}
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if args.json:
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"artifacts/scripts/omni/collect_qwen3_v4_publication_artifacts.py",
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"model/scripts/omni/collect_qwen3_v4_publication_artifacts.py",
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]
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ENHANCEMENT_MARKER = "docs/data/task_suite_enhancement_128.json"
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ENHANCEMENT_CARD_BLOCK = """
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## 128-Episode Enhancement Pack
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The no-new-episode suite push is recorded in `TASK_SUITE_ENHANCEMENT_128.md`
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and `docs/data/task_suite_enhancement_128.json`. It recommends
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`multiscale_20s10_40s20_80s40`, hierarchical action/subtask targets,
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label-normalized scoring, and compact raw-feature shards before adding more
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episodes.
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"""
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def load_parity_module():
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return removed
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def ensure_enhancement_card_links(hf_root: Path, *, dry_run: bool) -> list[str]:
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updated = []
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for relative_path in ("artifacts/README.md", "model/README.md"):
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path = hf_root / relative_path
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if not path.exists():
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continue
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text = path.read_text(encoding="utf-8")
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if ENHANCEMENT_MARKER in text:
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continue
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insert_before = "\n## Dataset Boundary" if relative_path.startswith("artifacts/") else "\n## Start Here"
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if insert_before in text:
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text = text.replace(insert_before, ENHANCEMENT_CARD_BLOCK + insert_before, 1)
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else:
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text = text.rstrip() + "\n" + ENHANCEMENT_CARD_BLOCK
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updated.append(relative_path)
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if not dry_run:
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path.write_text(text, encoding="utf-8")
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return updated
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def main() -> int:
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args = parse_args()
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hf_root = args.hf_root.expanduser().resolve()
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dry_run=args.dry_run,
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)
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card_updates = ensure_enhancement_card_links(hf_root, dry_run=args.dry_run)
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summary = {
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"status": "dry_run" if args.dry_run else "synced",
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"hf_root": hf_root.as_posix(),
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"copy_count": len(copied),
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"removed_stale_count": len(removed),
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"removed_stale": removed,
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"card_updates": card_updates,
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"records": copied,
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}
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if args.json:
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