Upload test_11_07_7.py with huggingface_hub

test_11_07_7.py

@@ -0,0 +1,96 @@
+import os
+import datasets
+import urllib.request
+import csv
+
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {diffusion train set},
+}
+"""
+
+_DESCRIPTION = """\
+This is a dataset that image data and caption txt
+"""
+_HOMEPAGE = ""
+
+_LICENSE = ""
+
+_VERSION = "0.0.1"
+
+_URL = "data/"
+   
+_URLS = {        
+            "train": _URL + 'train_dataset.csv',
+            "reg": _URL + 'reg_dataset.csv',
+            "test": _URL + 'test_dataset.csv',
+            }
+task_list = [
+    "train",
+    "reg",
+    "test",
+]
+
+class TaskConfig(datasets.BuilderConfig):
+    def __init__(self, **kwargs):
+        super().__init__(version=datasets.Version("1.0.0"), **kwargs)
+
+class ImgDataset(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        TaskConfig(
+            name=task_name,
+        )
+        for task_name in task_list
+    ]
+    
+    def _info(self):
+        features = datasets.Features(
+            {
+                "folder_name" : datasets.Value("string"),
+                "Class_name": datasets.Value("string"),
+                "file_name": datasets.Value("string"),
+                "file_id": datasets.Value("string")
+        
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            version=_VERSION,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager):
+        URL = {self.config.name: _URLS[self.config.name]}
+        
+        downloaded_files = dl_manager.download_and_extract(_URLS)
+        task_name = self.config.name
+        
+        return [
+            datasets.SplitGenerator(datasets.Split.TRAIN, {
+                "filepath": downloaded_files[task_name]
+            }),
+            ]
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        with open(filepath, encoding="utf-8") as f:
+            data = csv.DictReader(f)
+            key = 0
+            for row in data:
+                yield key, {
+                    "folder_name" : row['folder_name'],
+                    "Class_name": row['Class_name'],
+                    "file_name": row['file_name'],
+                    "file_id": row['file_id']
+                }
+                folder_name = row['folder_name']
+                class_name =row['Class_name']
+                file_name = row['file_name']
+                url =row['file_id']
+                path = os.path.join('./',folder_name,class_name,file_name)
+                folder = os.path.join('./',folder_name,class_name)
+                if not os.path.isdir(folder): 
+                    os.makedirs(folder)
+                urllib.request.urlretrieve(url, path)
+                key += 1