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Filtering downloads

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This commit is contained in:
Jake Poznanski 2025-10-13 17:22:57 +00:00
parent b86e3071da
commit 5b81bc61c6
1 changed files with 48 additions and 10 deletions
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58
olmocr/data/prepare_olmocrmix.py
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@ -139,12 +139,40 @@ def prepare_olmocr_mix(dataset_path: str, subset: str, split: str, destination:
else:
print(f"Downloading dataset {dataset_path} to {hugging_face_dir}...")
# Download the entire repository including PDFs and parquet files
local_dir = snapshot_download(
repo_id=dataset_path,
repo_type="dataset",
local_dir=hugging_face_dir,
)
# For allenai/olmOCR-mix-0225, download everything as before
# For other datasets, filter to only download needed files
if dataset_path == "allenai/olmOCR-mix-0225":
# Download the entire repository including PDFs and parquet files
local_dir = snapshot_download(
repo_id=dataset_path,
repo_type="dataset",
local_dir=hugging_face_dir,
)
else:
# For other datasets, only download the specific parquet file and related PDF tarballs
# Construct the dataset tag for filtering
dataset_tag = f"{subset}_{split}"
# Define patterns to allow:
# 1. The specific parquet file
# 2. Related PDF tarballs in pdf_tarballs directory
# 3. README and metadata files (for dataset info)
# 4. urls.jsonl for URL mappings if it exists
allow_patterns = [
f"{dataset_tag}.parquet",
f"pdf_tarballs/{dataset_tag}_*.tar.gz",
"README.md",
"*.json", # Include any metadata JSON files
]
print(f"Filtering download to patterns: {allow_patterns}")
local_dir = snapshot_download(
repo_id=dataset_path,
repo_type="dataset",
local_dir=hugging_face_dir,
allow_patterns=allow_patterns,
)
print(f"Downloaded to: {local_dir}")
@ -178,8 +206,15 @@ def prepare_olmocr_mix(dataset_path: str, subset: str, split: str, destination:
if existing_pdfs:
print(f"Found {len(existing_pdfs)} already extracted PDFs in {extracted_dir}, skipping extraction step")
else:
# Find all tarball files
tarball_files = list(pdf_tarballs_dir.glob("*.tar*")) + list(pdf_tarballs_dir.glob("*.tgz"))
# Find tarball files based on dataset type
if dataset_path == "allenai/olmOCR-mix-0225":
# Extract all tarballs for the full dataset
tarball_files = list(pdf_tarballs_dir.glob("*.tar*")) + list(pdf_tarballs_dir.glob("*.tgz"))
else:
# Only extract tarballs matching the dataset_tag pattern
dataset_tag = f"{subset}_{split}"
tarball_files = list(pdf_tarballs_dir.glob(f"{dataset_tag}_*.tar*")) + list(pdf_tarballs_dir.glob(f"{dataset_tag}_*.tgz"))
print(f"Filtering tarballs to pattern: {dataset_tag}_*")
if tarball_files:
print(f"\nFound {len(tarball_files)} PDF tarballs to extract...")
@ -328,8 +363,11 @@ def prepare_olmocr_mix(dataset_path: str, subset: str, split: str, destination:
def main():
parser = argparse.ArgumentParser(description="Prepare OLMoCR mix dataset")
parser.add_argument("--dataset-path", type=str, default="allenai/olmOCR-mix-0225", help="HuggingFace dataset path (e.g., 'allenai/olmocr-mix')")
parser.add_argument("--subset", type=str, default="00_documents", required=True, help="Dataset subset name")
parser.add_argument("--split", type=str, default="eval_s2pdf", required=True, help="Dataset split ex eval_s2pdf")
# Add subset and split to the parser (not the group) but they'll be validated later
parser.add_argument("--subset", type=str, default=None, help="Dataset subset name")
parser.add_argument("--split", type=str, default=None, help="Dataset split ex eval_s2pdf")
parser.add_argument("--destination", type=str, required=True, help="Destination directory path")
parser.add_argument("--max-examples", type=int, default=None, help="Maximum number of examples to process (default: all)")