import json import os import tarfile import io from tqdm import tqdm import argparse def create_webdataset(csv_file, output_dir, parent_dataset_path, tar_size=1000): os.makedirs(output_dir, exist_ok=True) with open(csv_file, "r") as f: json_list = list(f) tar_index = 0 file_count = 0 tar = None for row_raw in tqdm(json_list): row = json.loads(row_raw) if file_count % tar_size == 0: if tar: tar.close() tar_index += 1 tar_path = os.path.join(output_dir, f"dataset-{tar_index:06d}.tar") tar = tarfile.open(tar_path, 'w') filename = row["image"] # label = ast.literal_eval(row[1]) all_caption = row["caption"] caption = all_caption.strip().strip("\n\n").strip("\n") # Read the image file image_path = os.path.join(parent_dataset_path, filename) with open(image_path, 'rb') as img_file: img_data = img_file.read() # Create an in-memory tarfile img_tarinfo = tarfile.TarInfo(name=f"{file_count:06d}.jpg") img_tarinfo.size = len(img_data) tar.addfile(img_tarinfo, io.BytesIO(img_data)) # Add caption.txt to the tarfile caption_data = caption.encode('utf-8') caption_tarinfo = tarfile.TarInfo(name=f"{file_count:06d}.txt") caption_tarinfo.size = len(caption_data) tar.addfile(caption_tarinfo, io.BytesIO(caption_data)) file_count += 1 if tar: tar.close() if __name__ == "__main__": # Argument parser setup parser = argparse.ArgumentParser(description="Create a WebDataset from CSV") parser.add_argument('--csv_file', type=str, required=True, help="Path to the CSV file") parser.add_argument('--output_dir', type=str, required=True, help="Directory to store the output tar files") parser.add_argument('--parent_dataset_path', type=str, required=True, help="Path to the parent dataset containing images") parser.add_argument('--tar_size', type=int, default=1000, help="Number of files per tar file") # Parse the arguments args = parser.parse_args() # Call the function with the parsed arguments create_webdataset(args.csv_file, args.output_dir, args.parent_dataset_path, args.tar_size)