Create new file

mortars_test3.py

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+"""Dataset class for image dataset."""
+
+import datasets
+import os
+from datasets.tasks import ImageClassification
+
+_URLS = "mortars_data.zip"
+
+_HOMEPAGE = "http://https://huggingface.co/datasets/apetulante/mortars_test"
+
+_DESCRIPTION = (
+    "This dataset consists of test dataset of ancient mortar and with only obsidian images as zip file in it"
+)
+
+_NAMES = [ 
+    "Obsidian-1to2mm",
+    
+]
+
+_CITATION = ""
+   
+        
+class AncientMortarConfig(datasets.BuilderConfig):
+    """BuilderConfig for COCO cats image."""
+
+    def __init__(
+        self,
+        data_url,
+        url,
+        task_templates=None,
+        **kwargs,
+    ):
+        super(AncientMortarConfig, self).__init__(
+            version=datasets.Version("1.9.0", ""), **kwargs
+        )
+        self.data_url = data_url
+        self.url = url
+        self.task_templates = task_templates
+                         
+class AncientMortar(datasets.GeneratorBasedBuilder):
+    
+    BUILDER_CONFIGS = [
+        AncientMortarConfig(
+            name="image",
+            url="",
+            data_url="",
+        )
+    ] 
+    
+              
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "image": datasets.Image(),
+                    "label": datasets.ClassLabel(names=_NAMES),
+                }
+            ),
+            supervised_keys=("image", "label"),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+            task_templates=[ImageClassification(image_column="image", label_column="label")],
+        )
+     
+    def _split_generators(self, dl_manager):
+        data_files = dl_manager.download_and_extract(_URLS)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "files": dl_manager.iter_files([data_files]),
+                },
+            )
+        ]
+    def _generate_examples(self, files):
+        """Generate images and labels for splits."""
+        for i, path in enumerate(files):
+            file_name = os.path.basename(path)
+            if file_name.endswith(".bmp"):
+                yield i, {
+                    "image_file_path": path,
+                    "image": path,
+                    "labels": os.path.basename(os.path.dirname(path)).lower(),
+                }
+    #    for file_path in files:
+    ##        if file_path.startswith(_IMAGES_DIR):
+     #           if file_path[len(_IMAGES_DIR) : -len(".bmp")] in files_to_keep:
+      #              label = file_path.split("/")[2]
+      #              yield file_path, {
+       #                 "image": {"path": file_path},
+        #                "label": label,
+         #           }