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khatt-paragraphs.py

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+import datasets
+from PIL import ImageOps
+
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {Processed KHATT paragrpah dataset},
+author={Ahmed Alnaggar},
+year={2024}
+}
+"""
+
+_DESCRIPTION = """\
+A curated version of KHATT paragraph dataset containing 3996 images and their crossponding Arabic paragraphs
+"""
+_HOMEPAGE = "https://huggingface.co/datasets/a-alnaggar/khatt-paragraphs"
+
+_LICENSE = ""
+
+_REPO = "https://huggingface.co/datasets/a-alnaggar/khatt-paragraphs"
+
+class KhattPara(datasets.GeneratorBasedBuilder):
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    'text': datasets.Value("string"),
+                    'image': datasets.Image(),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        images_archive = dl_manager.download(f"{_REPO}/resolve/main/khatt-paragraphs.tar.gz")
+        image_iters = dl_manager.iter_archive(images_archive)
+        
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "image": image_iters,
+                }
+            ),
+        ]
+        
+    def _generate_examples(self, images):
+        """Returns inverted image and Arabic text."""
+        for idx, (filepath, image) in enumerate(images):
+            text_path = filepath.split('.')[0] + ".txt"
+            text = self.read_arabic_text_file(text_path)
+            
+            yield idx, {
+                "image": {"path": filepath, "bytes": ImageOps.invert(image.read())},
+                "text": text,
+            }
+
+    @staticmethod
+    def read_arabic_text_file(file_path):
+        with open(file_path, 'r', encoding='iso-8859-1') as file:
+            lines = file.readlines()
+        return '\n'.join(lines)
+    

khatt-paragraphs.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cf44d994522cef0553a788d4462f5dd6b99821c8d73f93a85c01f5950c4b4865
+size 308288654