Basic setup for pulling

Signed-off-by: Jiri Podivin <[email protected]>

.gitattributes

@@ -56,3 +56,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Repo specific
 labels.csv filter=lfs diff=lfs merge=lfs -text
 labels_raw.json filter=lfs diff=lfs merge=lfs -text
+labels_test.csv filter=lfs diff=lfs merge=lfs -text
+labels_train.csv filter=lfs diff=lfs merge=lfs -text
+labels_raw filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1 @@
+test*

labels.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:27866cd0317906ce4f17b5a25609d62d7dee21dffe3183de3cfc8ec0b8ec8105
-size 3595889996
+oid sha256:a49b0dfbc6791a093ca4f5ea494bf9ce7c0b38ec7dc3dd528f3cb215c2ccc941
+size 3989805491

labels_raw.json → labels_raw.json.tar.gz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:168e4571e61a489453f8262108557b8fe3d07b4e2b341fbef5340181b1ff663d
-size 3993693859
+oid sha256:9b73aa96821ec151fd2da7ef66ee93c1218d2052e536f30c56eb62b7f266f31e
+size 471437296

labels_raw.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fdfccc23b41dc268ab608d08662b9f90115fcb600423dad13dd87956063de5db
+size 424277514

plantorgans.py

@@ -1,4 +1,6 @@
 import datasets
+import os
+import json
 
 _DESCRIPTION = """Photos of various plants with their major, above ground organs labeled. Includes labels for stem, leafs, fruits and flowers."""
 
@@ -15,20 +17,41 @@ _NAMES = [
     'Fruit',
 ]
 
-_BASE_URL = "https://huggingface.co/datasets/jpodivin/plantorgans/blob/main/sourcedata/"
+_BASE_URL = "https://huggingface.co/datasets/jpodivin/plantorgans/resolve/main/"
+_TRAIN_URLS = [_BASE_URL + f"sourcedata_labeled.tar.{i:02}" for i in range(0, 8)]
+_TEST_URLS = [_BASE_URL + f"sourcedata_labeled.tar.{i:02}" for i in range(8, 12)]
+_METADATA_URLS = {
+    'train': 'https://huggingface.co/datasets/jpodivin/plantorgans/resolve/main/labels_train.csv',
+    'test': 'https://huggingface.co/datasets/jpodivin/plantorgans/resolve/main/labels_test.csv'
+}
+
+
+class PlantOrgansConfig(datasets.BuilderConfig):
+    """Builder Config for PlantOrgans"""
+ 
+    def __init__(self, data_url, metadata_urls, splits, **kwargs):
+        """BuilderConfig for PlantOrgans.
+        Args:
+          data_url: `string`, url to download the zip file from.
+          metadata_urls: dictionary with keys 'train' and 'validation' containing the archive metadata URLs
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super().__init__(version=datasets.Version("1.0.0"), **kwargs)
+        self.data_url = data_url
+        self.metadata_urls = metadata_urls
+        self.splits = splits
 
-_DOWNLOAD_SUFFIX = "download?true"
-_METADATA_URLS = [
-    ""
-]
 
 class PlantOrgans(datasets.GeneratorBasedBuilder):
     """Plantorgans dataset
     """
     BUILDER_CONFIGS = [
         PlantOrgansConfig(
-            name="semantic_segmentation",
-            description="This configuration contains segmentation masks."
+            name="semantic_segmentation_full",
+            description="This configuration contains segmentation masks.",
+            data_url=_BASE_URL,
+            metadata_urls=_METADATA_URLS,
+            splits=['train', 'test'],
         ),
     ]
 
@@ -49,37 +72,29 @@ class PlantOrgans(datasets.GeneratorBasedBuilder):
 
 
     def _split_generators(self, dl_manager):
-        archive_path = dl_manager.download(_BASE_URL)
+        train_archive_path = dl_manager.download_and_extract(_TRAIN_URLS)
+        test_archive_path = dl_manager.download_and_extract(_TEST_URLS)
+
         split_metadata_paths = dl_manager.download(_METADATA_URLS)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "images": dl_manager.iter_archive(archive_path),
+                    "images": dl_manager.iter_archive(os.path.join(train_archive_path, 'sourcedata/labeled')),
                     "metadata_path": split_metadata_paths["train"],
                 },
             ),
             datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
+                name=datasets.Split.TEST,
                 gen_kwargs={
-                    "images": dl_manager.iter_archive(archive_path),
+                    "images": dl_manager.iter_archive(os.path.join(test_archive_path, 'sourcedata/labeled')),
                     "metadata_path": split_metadata_paths["test"],
                 },
             ),
         ]
     def _generate_examples(self, images, metadata_path):
-        ...
-
-class PlantOrgansConfig(datasets.BuilderConfig):
-    """Builder Config for PlantOrgans"""
- 
-    def __init__(self, data_url, metadata_urls, **kwargs):
-        """BuilderConfig for PlantOrgans.
-        Args:
-          data_url: `string`, url to download the zip file from.
-          metadata_urls: dictionary with keys 'train' and 'validation' containing the archive metadata URLs
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super().__init__(version=datasets.Version("1.0.0"), **kwargs)
-        self.data_url = data_url
-        self.metadata_urls = metadata_urls
+        
+        with open(metadata_path, 'w', encoding='utf-8') as fp:
+            metadata = json.load(fp)
+            images = metadata['image']
+            annotations = metadata['annotations']