Create scripts/processing.py

scripts/processing.py

@@ -0,0 +1,35 @@
+"""This script de-duplicates the data provided by the PathVQA authors,
+creates an "imagefolder" dataset and pushes it to the Hugging Face Hub.
+"""
+
+import os
+import shutil
+import pickle
+import datasets
+import pandas as pd
+
+for split in ["train", "val", "test"]:
+    
+    os.makedirs(f"data/{split}/", exist_ok=True)
+    
+    # load the image-question-answer triplets
+    data = pd.DataFrame(pickle.load(open(f"pvqa/qas/{split}/{split}_qa.pkl", "rb")))
+
+    # drop the duplicate image-question-answer triplets
+    data = data.drop_duplicates(ignore_index=True)
+    
+    # copy the images using unique file names
+    data.insert(0, "file_name", "")
+    for i, row in data.iterrows():
+        file_name = f"img_{i}.jpg"
+        data["file_name"].iloc[i] = file_name
+        shutil.copyfile(src=f"pvqa/images/{split}/{row['image']}.jpg", dst=f"data/{split}/{file_name}")
+    _ = data.pop("image")
+    
+    # save the metadata
+    data.to_csv(f"data/{split}/metadata.csv", index=False)
+
+# push the dataset to the hub
+dataset = datasets.load_dataset("imagefolder", data_dir="data/")
+dataset.push_to_hub("flaviagiammarino/path-vqa")
+