Upload MedVQA_test.py

MedVQA_test.py

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+import os
+import csv
+import datasets
+from PIL import Image
+import pandas as pd
+
+
+class MyDataset(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="Dataset containing medical images with associated questions and answers.",
+            features=datasets.Features({
+                "image": datasets.Image(),
+                "source": datasets.Value("string"),
+                "question": datasets.Value("string"),
+                "answer": datasets.Value("string"),
+                "img_id": datasets.Value("string"), }),
+            supervised_keys=None,
+        )
+
+    def _split_generators(self, dl_manager):
+        df = pd.read_csv(os.path.join(self.config.data_dir, "gt.csv"),
+                         delimiter=";")
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"df": df,
+                            "images_dir": os.path.join(self.config.data_dir, "data")}
+            )
+        ]
+
+    def _generate_examples(self, df, images_dir):
+        #  iterate df
+        for idx, row in df.iterrows():
+            img_id = row.get("img_id")
+            if not img_id:
+                continue  # Skip rows without a valid image identifier
+            image_path = os.path.join(images_dir, f"{img_id}")
+            if not os.path.exists(image_path):
+                continue  # Skip if image file does not exist
+            yield idx, {
+                "image": image_path,
+                "source": row["source"],
+                "question": row["question"],
+                "answer": row["answer"],
+                "img_id": img_id.split(".")[0],
+            }
+
+#  MedVQA_test_cli.py
+# from datasets import load_dataset
+
+# dataset = load_dataset(
+#     "/Users/sgautam/Documents/MedVQA/MedVQA_test.py", data_dir="/Users/sgautam/Downloads/kvasir_vqa_test/", trust_remote_code=True)
+# dataset.push_to_hub("SimulaMet/Kvasir-VQA-test", private=False)
+# breakpoint()
+
+# then
+#  python MedVQA_test_cli.py