Upload food_img_caption_small.py

food_img_caption_small.py

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+
+import json
+
+import datasets
+from datasets.tasks import QuestionAnsweringExtractive
+import re
+
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_CITATION = """\
+@article{tobedetermined,
+       author = {Zihao},
+        title = "{Food Images}",
+      journal = {Nah},
+         year = 2022,
+          eid = {arXiv:Nah},
+        pages = {arXiv:Nah},
+archivePrefix = {arXiv},
+       eprint = {Nah},
+}
+"""
+
+_DESCRIPTION = """\
+For finetunning stable diffuser with food images
+"""
+
+_URL = "https://huggingface.co/datasets/zmao/food_img_caption_small/resolve/main/food_img_caption_small.tar.gz"
+
+
+class FoodCaption(datasets.GeneratorBasedBuilder):
+    """SQUAD: The Stanford Question Answering Dataset. Version 1.1."""
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "image": datasets.Image(),
+                   
+                }
+            ),
+            # No default supervised_keys (as we have to pass both question
+            # and context as input).
+            supervised_keys=None,
+            homepage="https://huggingface.co/datasets/zmao/food_img_caption",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        path = dl_manager.download(_URL)
+        image_iters = dl_manager.iter_archive(path)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "images": image_iters
+                }
+            ),
+        ]
+
+    def _generate_examples(self, images):
+        """This function returns the examples in the raw (text) form."""
+        idx = 0
+        
+        #iterate through images:
+        for filepath, image in images:
+            
+            text = filepath[14:-4]
+            text = text.replace('-',' ')
+            text = re.sub("^\d+\s|\s\d+\s|\s\d+$", " ", text)
+            text = text.strip()
+            
+            yield idx, {
+                "image" : {"path": filepath, "bytes":image.read()},
+                "text": text
+            }
+            idx += 1
+