Update bulk_download.py
Browse files- bulk_download.py +146 -103
bulk_download.py
CHANGED
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@@ -3,7 +3,7 @@
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Downloads whole shard tars from allenai/molmobot-data, decompresses each
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inner .tar.zst archive, and extracts its contents into:
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<target_dir>/<task_config>/part<X>/
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A local JSON manifest tracks progress per-shard so that interrupted
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downloads can be resumed without re-extracting already-completed shards.
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@@ -74,8 +74,10 @@ def _load_manifest(target_dir: str) -> dict:
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{
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"<config_name>": {
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"
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},
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...
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}
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@@ -99,13 +101,13 @@ def _save_manifest(target_dir: str, manifest: dict) -> None:
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tmp.replace(p)
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def load_entries(config_name: str) -> list[dict]:
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"""Load the parquet arrow table for a task config as a list of dicts."""
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ds = load_dataset(REPO, name=config_name, split="
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return [row for row in ds]
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def summarize_config(config_name: str, entries: list[dict]) -> dict:
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"""Return a summary dict with sizes, shard/part counts."""
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compressed = sum(e["size"] for e in entries)
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inflated = sum(e.get("inflated_size", 0) for e in entries)
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@@ -126,6 +128,7 @@ def summarize_config(config_name: str, entries: list[dict]) -> dict:
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return {
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"config": config_name,
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"entries": len(entries),
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"compressed": compressed,
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"inflated": inflated if has_inflated else None,
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@@ -147,7 +150,11 @@ def print_summary(summary: dict) -> None:
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print(f" Extracted size: (unknown)")
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for p, info in sorted(summary["per_part"].items()):
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dl = _format_size(info["compressed"])
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ex =
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print(f" part {p}: {info['entries']} entries, dl {dl}, extracted {ex}")
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@@ -163,7 +170,9 @@ def main() -> None:
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parser = argparse.ArgumentParser(
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description="Download molmobot training data from Hugging Face.",
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formatter_class=argparse.RawDescriptionHelpFormatter,
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epilog=(
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)
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parser.add_argument(
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"target_dir",
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@@ -201,6 +210,12 @@ def main() -> None:
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action="store_true",
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help="Skip confirmation prompts.",
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)
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parser.add_argument(
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"--max_part_shards",
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type=int,
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@@ -220,8 +235,15 @@ def main() -> None:
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else:
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parser.error("Specify --config <NAME>, --all, or --list.")
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# Load entries and compute summaries
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all_entries: dict[str, list[dict]] = {}
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total_compressed = 0
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total_inflated = 0
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has_all_inflated = True
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@@ -230,86 +252,100 @@ def main() -> None:
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manifest = _load_manifest(args.target_dir)
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configs_to_skip = set()
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for config_name in configs_to_process:
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if args.part not
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part_to_shard_to_entries = {args.part: {s: shard_to_entries[s] for s in shards}}
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else:
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if args.max_part_shards is not None:
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for part in part_to_shard_to_entries:
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shard_to_entries = part_to_shard_to_entries[part]
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shards = sorted(shard_to_entries.keys())[: args.max_part_shards]
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part_to_shard_to_entries
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cfg_m = manifest.get(config_name, {})
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done_shards = set(cfg_m.get("completed_shards", []))
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if done_shards:
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required_shards = set(
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sum(
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[
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list(shard_to_entries.keys())
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for part, shard_to_entries in part_to_shard_to_entries.items()
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],
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[],
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)
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)
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missing_shards = required_shards - done_shards
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if not missing_shards:
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print(f" {config_name}: already fully extracted, skipping")
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configs_to_skip.add(config_name)
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continue
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else:
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-
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)
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]
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-
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print_summary(summary)
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total_compressed += summary["compressed"]
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if summary["inflated"] is not None:
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total_inflated += summary["inflated"]
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else:
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has_all_inflated = False
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print()
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configs_to_process = [
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config_name for config_name in configs_to_process if config_name not in configs_to_skip
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]
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if
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print(f"Total across {
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print(f" Download size: {_format_size(total_compressed)}")
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if has_all_inflated:
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print(f" Extracted size: {_format_size(total_inflated)}")
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@@ -330,21 +366,23 @@ def main() -> None:
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print("Aborted.")
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return
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for
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print("\nAll done.")
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@@ -352,20 +390,21 @@ def main() -> None:
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def download_and_extract_config(
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config_name: str,
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target_dir: str,
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entries: list[dict] | None = None,
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) -> None:
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"""Download and extract all shards for a single task config.
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Whole shard tars are downloaded via ``hf_hub_download`` (which caches
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them). Each inner ``.tar.zst`` member is decompressed and extracted
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into ``<target_dir>/<config_name>/part<X>/
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Progress is tracked per-shard in a local manifest so that interrupted
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runs can be resumed.
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"""
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if entries is None:
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print(f"Loading entry table for {config_name}...")
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entries = load_entries(config_name)
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# Build lookup: path -> entry (for part resolution)
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path_to_entry = {e["path"]: e for e in entries}
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# Load manifest for resume
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manifest = _load_manifest(target_dir)
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cfg_manifest = manifest.setdefault(config_name, {})
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completed_shards: set[int] = set(cfg_manifest.get("completed_shards", []))
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num_completed_entries: list[int] = cfg_manifest.get("num_completed_entries", [])
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print(f"All shards for {config_name} already extracted.")
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return
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print(
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# Use a temporary cache dir so shard downloads don't accumulate
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# in the default HF cache (~/.cache/huggingface/hub/).
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for shard_id in tqdm(remaining_shards, desc=f"{config_name} shards"):
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entries_count = 0
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shard_filename = f"{config_name}/
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shard_local = hf_hub_download(
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repo_id=REPO,
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continue
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part = entry["part"]
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extract_dir = os.path.join(
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os.makedirs(extract_dir, exist_ok=True)
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fobj = shard_tar.extractfile(member)
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Downloads whole shard tars from allenai/molmobot-data, decompresses each
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inner .tar.zst archive, and extracts its contents into:
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+
<target_dir>/<task_config>/part<X>/<split>/…
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A local JSON manifest tracks progress per-shard so that interrupted
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downloads can be resumed without re-extracting already-completed shards.
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{
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"<config_name>": {
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"<split>": {
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"num_completed_entries": [120, 124, ...],
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"completed_shards": [0, 1, ...],
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}
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},
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...
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}
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tmp.replace(p)
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def load_entries(config_name: str, split: str) -> list[dict]:
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"""Load the parquet arrow table for a task config as a list of dicts."""
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ds = load_dataset(REPO, name=config_name, split=f"{split}_pkgs")
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return [row for row in ds]
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def summarize_config(config_name: str, split: str, entries: list[dict]) -> dict:
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"""Return a summary dict with sizes, shard/part counts."""
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compressed = sum(e["size"] for e in entries)
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inflated = sum(e.get("inflated_size", 0) for e in entries)
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return {
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"config": config_name,
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"split": split,
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"entries": len(entries),
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"compressed": compressed,
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"inflated": inflated if has_inflated else None,
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print(f" Extracted size: (unknown)")
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for p, info in sorted(summary["per_part"].items()):
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dl = _format_size(info["compressed"])
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ex = (
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_format_size(info["inflated"])
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if info["inflated"] is not None
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else "unknown"
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)
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print(f" part {p}: {info['entries']} entries, dl {dl}, extracted {ex}")
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parser = argparse.ArgumentParser(
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description="Download molmobot training data from Hugging Face.",
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formatter_class=argparse.RawDescriptionHelpFormatter,
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epilog=(
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"Available task configs:\n" + "\n".join(f" - {c}" for c in TASK_CONFIGS)
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),
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)
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parser.add_argument(
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"target_dir",
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action="store_true",
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help="Skip confirmation prompts.",
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)
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parser.add_argument(
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"--split",
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type=str,
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default="all",
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help="Extract only the given split (`train`, `val`, or `all`). Default is `all`.",
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)
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parser.add_argument(
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"--max_part_shards",
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type=int,
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else:
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parser.error("Specify --config <NAME>, --all, or --list.")
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split_choices = dict(
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train=["train"],
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val=["val"],
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all=["val", "train"],
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)
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splits = split_choices[args.split]
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# Load entries and compute summaries
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all_entries: dict[str, dict[str, list[dict]]] = {split: {} for split in splits}
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total_compressed = 0
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total_inflated = 0
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has_all_inflated = True
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manifest = _load_manifest(args.target_dir)
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configs_to_skip = {split: set() for split in splits}
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for config_name in configs_to_process:
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for split in splits:
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part_to_shard_to_entries: dict[int, dict[int, list[dict]]] = {}
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entries = load_entries(config_name, split)
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part_entries = defaultdict(list)
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for e in entries:
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part_entries[e["part"]].append(e)
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for part in part_entries:
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shard_to_entries = defaultdict(list)
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for e in part_entries[part]:
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shard_to_entries[e["shard_id"]].append(e)
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part_to_shard_to_entries[part] = {**shard_to_entries}
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if args.part is not None:
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if args.part not in part_to_shard_to_entries:
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print(f" {config_name} has no part {args.part}. Skipping")
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configs_to_skip[split].add(config_name)
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continue
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if args.max_part_shards is not None:
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shard_to_entries = part_to_shard_to_entries[args.part]
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shards = sorted(shard_to_entries.keys())[: args.max_part_shards]
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part_to_shard_to_entries = {
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args.part: {s: shard_to_entries[s] for s in shards}
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}
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else:
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if args.max_part_shards is not None:
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for part in part_to_shard_to_entries:
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shard_to_entries = part_to_shard_to_entries[part]
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shards = sorted(shard_to_entries.keys())[: args.max_part_shards]
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part_to_shard_to_entries[part] = {
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s: shard_to_entries[s] for s in shards
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}
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# Show resume status and filter out fully-completed configs
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cfg_m = manifest.get(config_name, {}).get(split, {})
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done_shards = set(cfg_m.get("completed_shards", []))
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if done_shards:
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required_shards = set(
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sum(
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[
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list(shard_to_entries.keys())
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for part, shard_to_entries in part_to_shard_to_entries.items()
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],
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[],
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)
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)
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missing_shards = required_shards - done_shards
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if not missing_shards:
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print(f" {config_name}: already fully extracted, skipping")
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configs_to_skip[split].add(config_name)
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continue
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else:
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print(
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f" {config_name}: {len(missing_shards)}/{len(required_shards)} "
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f"shards pending extraction (will resume)"
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)
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entries = [
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e
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for part, shard_to_entries in part_to_shard_to_entries.items()
|
| 318 |
+
for shard, entries in shard_to_entries.items()
|
| 319 |
+
for e in entries
|
| 320 |
+
if shard not in done_shards
|
| 321 |
+
]
|
| 322 |
+
|
| 323 |
+
all_entries[split][config_name] = entries
|
| 324 |
+
summary = summarize_config(config_name, split, entries)
|
| 325 |
+
|
| 326 |
+
print_summary(summary)
|
| 327 |
+
total_compressed += summary["compressed"]
|
| 328 |
+
if summary["inflated"] is not None:
|
| 329 |
+
total_inflated += summary["inflated"]
|
| 330 |
+
else:
|
| 331 |
+
has_all_inflated = False
|
| 332 |
+
print()
|
| 333 |
+
|
| 334 |
+
configs_to_process = {
|
| 335 |
+
split: [
|
| 336 |
+
config_name
|
| 337 |
+
for config_name in configs_to_process
|
| 338 |
+
if config_name not in configs_to_skip[split]
|
| 339 |
]
|
| 340 |
+
for split in splits
|
| 341 |
+
}
|
| 342 |
|
| 343 |
+
all_configs_to_process = sum(
|
| 344 |
+
len(split_cfg) for split_cfg in configs_to_process.values()
|
| 345 |
+
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 346 |
|
| 347 |
+
if all_configs_to_process > 1:
|
| 348 |
+
print(f"Total across {all_configs_to_process} configs:")
|
| 349 |
print(f" Download size: {_format_size(total_compressed)}")
|
| 350 |
if has_all_inflated:
|
| 351 |
print(f" Extracted size: {_format_size(total_inflated)}")
|
|
|
|
| 366 |
print("Aborted.")
|
| 367 |
return
|
| 368 |
|
| 369 |
+
for split in splits:
|
| 370 |
+
for config_name in configs_to_process[split]:
|
| 371 |
+
print(f"\n{'=' * 60}")
|
| 372 |
+
print(f" {config_name} {split}")
|
| 373 |
+
print(f"{'=' * 60}")
|
| 374 |
+
try:
|
| 375 |
+
download_and_extract_config(
|
| 376 |
+
config_name,
|
| 377 |
+
args.target_dir,
|
| 378 |
+
split=split,
|
| 379 |
+
entries=all_entries[split][config_name],
|
| 380 |
+
)
|
| 381 |
+
except KeyboardInterrupt:
|
| 382 |
+
print("\nInterrupted. Progress has been saved; re-run to resume.")
|
| 383 |
+
raise SystemExit(1)
|
| 384 |
+
except Exception as e:
|
| 385 |
+
print(f"FAILED: {config_name} {split} — {e}")
|
| 386 |
|
| 387 |
print("\nAll done.")
|
| 388 |
|
|
|
|
| 390 |
def download_and_extract_config(
|
| 391 |
config_name: str,
|
| 392 |
target_dir: str,
|
| 393 |
+
split: str,
|
| 394 |
entries: list[dict] | None = None,
|
| 395 |
) -> None:
|
| 396 |
"""Download and extract all shards for a single task config.
|
| 397 |
|
| 398 |
Whole shard tars are downloaded via ``hf_hub_download`` (which caches
|
| 399 |
them). Each inner ``.tar.zst`` member is decompressed and extracted
|
| 400 |
+
into ``<target_dir>/<config_name>/part<X>/<split>/``.
|
| 401 |
|
| 402 |
Progress is tracked per-shard in a local manifest so that interrupted
|
| 403 |
runs can be resumed.
|
| 404 |
"""
|
| 405 |
if entries is None:
|
| 406 |
print(f"Loading entry table for {config_name}...")
|
| 407 |
+
entries = load_entries(config_name, split)
|
| 408 |
|
| 409 |
# Build lookup: path -> entry (for part resolution)
|
| 410 |
path_to_entry = {e["path"]: e for e in entries}
|
|
|
|
| 417 |
|
| 418 |
# Load manifest for resume
|
| 419 |
manifest = _load_manifest(target_dir)
|
| 420 |
+
cfg_manifest = manifest.setdefault(config_name, {}).setdefault(split, {})
|
| 421 |
completed_shards: set[int] = set(cfg_manifest.get("completed_shards", []))
|
| 422 |
num_completed_entries: list[int] = cfg_manifest.get("num_completed_entries", [])
|
| 423 |
|
|
|
|
| 432 |
print(f"All shards for {config_name} already extracted.")
|
| 433 |
return
|
| 434 |
|
| 435 |
+
print(
|
| 436 |
+
f"Downloading & extracting {len(remaining_shards)} shard(s) for {config_name} {split}..."
|
| 437 |
+
)
|
| 438 |
|
| 439 |
# Use a temporary cache dir so shard downloads don't accumulate
|
| 440 |
# in the default HF cache (~/.cache/huggingface/hub/).
|
|
|
|
| 445 |
for shard_id in tqdm(remaining_shards, desc=f"{config_name} shards"):
|
| 446 |
entries_count = 0
|
| 447 |
|
| 448 |
+
shard_filename = f"{config_name}/{split}_shards/{shard_id:05d}.tar"
|
| 449 |
|
| 450 |
shard_local = hf_hub_download(
|
| 451 |
repo_id=REPO,
|
|
|
|
| 469 |
continue
|
| 470 |
|
| 471 |
part = entry["part"]
|
| 472 |
+
extract_dir = os.path.join(
|
| 473 |
+
target_dir, config_name, f"part{part}", split
|
| 474 |
+
)
|
| 475 |
os.makedirs(extract_dir, exist_ok=True)
|
| 476 |
|
| 477 |
fobj = shard_tar.extractfile(member)
|