scripts/process_dataset.py

"""This script processes the dataset provided by the PathVQA authors. This script drops the duplicate
image-question-answer triplets, converts the images to bytes, and saves the dataset to a parquet file.
"""

import io
import pickle
import pandas as pd
from PIL import Image
from tqdm import tqdm

# loop across the splits
for split in ["train", "val", "test"]:
    
    # load the image-question-answer triplets
    data = pd.DataFrame(pickle.load(open(f"pvqa/qas/{split}/{split}_qa.pkl", "rb")))
    print(f"Total number of triplets in {split} set: {format(data.shape[0], ',.0f')}")
    
    # drop the duplicate image-question-answer triplets
    data = data.drop_duplicates(ignore_index=True)
    print(f"Unique number of triplets in {split} set: {format(data.shape[0], ',.0f')}")
    
    # load the images as bytes
    print(f"Loading {split} set images...")
    images = {}
    for image in tqdm(data["image"].unique()):
        img = Image.open(f"pvqa/images/{split}/{image}.jpg")
        byt = io.BytesIO()
        img.save(byt, format="jpeg")
        byt = byt.getvalue()
        images[image] = {"path": None, "bytes": byt}
    print(f"Unique number of images in {split} set: {format(len(images), ',.0f')}")
    
    # save the data to a parquet file
    print(f"Writing data to data/{split}.parquet...")
    dataset = []
    for _, row in data.iterrows():
        dataset.append({
            "image": images[row["image"]],
            "question": row["question"],
            "answer": row["answer"]
        })
    pd.DataFrame(dataset).to_parquet(f"data/{split}.parquet")
    print("Done")
    print("---------------------------------")
    
'''
Total number of triplets in train set: 19,755
Unique number of triplets in train set: 19,654
Loading train set images...
100%|██████████| 2599/2599 [00:46<00:00, 56.27it/s]
Unique number of images in train set: 2,599
Writing data to data/train.parquet...
Done
---------------------------------
Total number of triplets in val set: 6,279
Unique number of triplets in val set: 6,259
Loading val set images...
100%|██████████| 832/832 [00:13<00:00, 59.49it/s]
Unique number of images in val set: 832
Writing data to data/val.parquet...
Done
---------------------------------
Total number of triplets in test set: 6,761
Unique number of triplets in test set: 6,719
Loading test set images...
100%|██████████| 858/858 [00:15<00:00, 53.93it/s]
Unique number of images in test set: 858
Writing data to data/test.parquet...
Done
'''