Upload coco-karpathy-with-image.py

coco-karpathy-with-image.py

@@ -0,0 +1,67 @@
+import os
+from datasets import DatasetInfo, GeneratorBasedBuilder, SplitGenerator, Version, Features, Value, Sequence, Image, Split
+
+_CITATION = """\
+@inproceedings{lin2014microsoft,
+  title={Microsoft coco: Common objects in context},
+  author={Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence},
+  booktitle={Computer Vision--ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13},
+  pages={740--755},
+  year={2014},
+  organization={Springer}
+}
+"""
+
+_DESCRIPTION = """\
+Code and datasets for "Microsoft COCO: Common Objects in Context".
+"""
+
+_HOMEPAGE = "https://huggingface.co/datasets/Mayfull/coco-karpathy-with-image"
+_LICENSE = "Null"
+
+class SugarCrepeDataset(GeneratorBasedBuilder):
+    VERSION = Version("1.0.0")
+
+    def _info(self):
+        return DatasetInfo(
+            description=_DESCRIPTION,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+            features=Features(
+                {
+                    "images": Image(),
+                    "sentences": Sequence(Value("string")),
+                    "cocoid": Value("string"),
+                }
+            ),
+        )
+
+
+    def _split_generators(self, dl_manager):
+        urls_to_download = {
+            "images": "https://huggingface.co/datasets/Mayfull/coco-karpathy-with-image/resolve/main/images.zip",
+            "examples": "https://huggingface.co/datasets/Mayfull/coco-karpathy-with-image/resolve/main/examples.jsonl",
+        }
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+
+        return [
+            SplitGenerator(
+                name=Split.TEST,
+                gen_kwargs={
+                    "examples_file": downloaded_files["examples"],
+                    "images_dir": os.path.join(downloaded_files["images"]),
+                },
+            ),
+        ]
+
+    def _generate_examples(self, examples_file, images_dir):
+        with open(examples_file, "r", encoding="utf-8") as f:
+            for idx, line in enumerate(f):
+                data = eval(line)
+                image_path = os.path.join(images_dir, data["filename"])
+                yield idx, {
+                    "images": image_path,
+                    "sentences": data["sentences"],
+                    "cocoid": data["cocoid"],
+                }