Upload flickr8k-dataset.py

flickr8k-dataset.py

@@ -0,0 +1,112 @@
+import datasets
+import re
+from pathlib import Path
+
+
+class Flickr8kDataset(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("0.0.0")
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="flickr8k_dataset",
+            version=VERSION,
+        ),
+    ]
+
+    def _info(self):
+        feature_dict = {
+            "image_id": datasets.Value("string"),
+            "image_path": datasets.Value("string"),
+            "captions": datasets.Sequence(datasets.Value("string")),
+        }
+        return datasets.DatasetInfo(
+            description="Flickr8k dataset",
+            features=datasets.Features(feature_dict),
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = self.config.data_dir
+        if not data_dir:
+            raise ValueError("'data_dir' argument is required.")
+
+        archive_path = dl_manager.extract(
+            {
+                "images": Path(data_dir).joinpath("Flickr8k_Dataset.zip"),
+                "texts": Path(data_dir).joinpath("Flickr8k_text.zip"),
+            }
+        )
+
+        splits = [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "image_ids": Path(archive_path["texts"]).joinpath(
+                        "Flickr_8k.trainImages.txt"
+                    ),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "image_ids": Path(archive_path["texts"]).joinpath(
+                        "Flickr_8k.testImages.txt"
+                    ),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "image_ids": Path(archive_path["texts"]).joinpath(
+                        "Flickr_8k.devImages.txt"
+                    ),
+                },
+            ),
+        ]
+        for split in splits:
+            split.gen_kwargs.update(
+                {
+                    "image_dir": Path(archive_path["images"]).joinpath(
+                        "Flicker8k_Dataset"
+                    ),
+                    "captions_txt": Path(archive_path["texts"]).joinpath(
+                        "Flickr8k.token.txt"
+                    ),
+                }
+            )
+
+        return splits
+
+    def _generate_examples(
+        self,
+        image_ids,
+        image_dir,
+        captions_txt,
+    ):
+        def get_image_ids_as_list(fpath):
+            ids = []
+            with open(fpath, "r") as f:
+                for image in f.read().split("\n"):
+                    if image != "":
+                        ids.append(image.split(".")[0])
+                return ids
+
+        def get_captions_by_id(captions_txt, id):
+            captions = []
+            with open(captions_txt, "r") as f:
+                for line in f.read().split("\n"):
+                    if line != "":
+                        m = re.match(id + r".jpg#\d+(.*)", line)
+                        if m != None:
+                            captions.append(m.group(1)[1:])
+                return captions
+
+        ids = get_image_ids_as_list(image_ids)
+
+        for id in ids:
+            img_path = image_dir.joinpath(id + ".jpg")
+            captions = get_captions_by_id(captions_txt, id)
+            example = {
+                "image_id": id,
+                "image_path": str(img_path),
+                "captions": captions,
+            }
+            yield id, example