add file with image links

food_vision_199_classes.py

@@ -251,10 +251,10 @@ class Food199(datasets.GeneratorBasedBuilder):
         """
         This function returns the logic to split the dataset into different splits as well as labels.
         """
-        csv = dl_manager.download("annotations.csv")
+        csv = dl_manager.download("annotations_with_links.csv")
         df = pd.read_csv(csv)
         print("Downloaded annotations.csv")
-        df_train_annotations = df[["filename", "class_name"]][df["split"] == "train"].to_dict(orient="records")
+        df_train_annotations = df[["image", "class_name"]][df["split"] == "train"].to_dict(orient="records")
         # df_test_annotations = df[["filename", "label"]][df["split"] == "test"].to_dict(orient="records")
 
         return [
@@ -276,7 +276,7 @@ class Food199(datasets.GeneratorBasedBuilder):
         This function takes in the kwargs from the _split_generators method and can then yield information from them.
         """
         for id_, row in enumerate(annotations):
-            row["image"] = str(row.pop("filename"))
+            row["image"] = str(row.pop("image"))
             row["label"] = row.pop("class_name")
             yield id_, row