add custom script

cell_benchmark.py

@@ -0,0 +1,87 @@
+import os
+import datasets
+#from datasets import DownloadManager, DatasetInfo
+
+_DESCRIPTION = """\
+A segmentation dataset for [TODO: complete...]
+"""
+
+
+_HOMEPAGE = "https://huggingface.co/datasets/alkzar90/cell_benchmark"
+_EXTENSION = [".jpg", ".png"]
+_URL_BASE = "https://huggingface.co/datasets/alkzar90/cell_benchmark/resolve/main/data/"
+_SPLIT_URLS = {
+  "train":  _URL_BASE + "train.zip",
+  "val":    _URL_BASE + "val.zip",
+  "test":   _URL_BASE + "test.zip",
+  "masks":  _URL_BASE + "masks.zip",
+}
+
+
+
+class Cellsegmentation(datasets.GeneratorBasedBuilder):
+
+  def _info(self) -> DatasetInfo:
+    features = datasets.Features({
+         "image": datasets.Image(),
+         "masks": datasets.Image(),
+         "path" : datasets.Value("string"),
+      })
+    return datasets.DatasetInfo(
+        description=_DESCRIPTION,
+        features=datasets.Features(features),
+        supervised_keys=("image", "masks"),
+        homepage_HOMEPAGE,
+        citation="",
+    )
+
+
+  def _split_generators(self, dl_manager):
+    data_files = dl_manager.download_and_extract(_SPLIT_URLS)
+    splits = [
+           datasets.SplitGenerator(
+              name=datasets.Split.TRAIN,
+              gen_kwargs={
+                  "files" : dl_manager.iter_files([data_files["train"]]),
+                  "masks": data_files["masks"],
+                  "split":  "training",
+              },
+           ),
+           datasets.SplitGenerator(
+              name=datasets.Split.VALIDATION,
+              gen_kwargs={
+                  "files" : dl_manager.iter_files([data_files["validation"]]),
+                  "masks": data_files["masks"],
+                  "split": "validation",
+              },
+           ),
+           datasets.SplitGenerator(
+              name=datasets.Split.TEST,
+              gen_kwargs={
+                  "files" : dl_manager.iter_files([data_files["test"]]),
+                  "masks": data_files["masks"],
+                  "split": "test",
+              }
+           )
+    ]
+    return splits
+
+
+   def _generate_examples(self, files, masks, split):
+     mask_path = os.path.basename(masks)
+     for i, path in enumereate(files):
+       file_name = os.path.basename(path)
+       yield i, {
+         "image": path,
+         "masks": mask_path + "mask_" + file_name.replace("jpg", "png"),
+         "path": path,
+       }
+   
+
+    
+ 
+
+
+
+
+