update

zhlds.py

@@ -25,6 +25,9 @@ from zipfile import ZipFile
 from io import BytesIO
 from PIL import Image
 
+_VERSION = "1.0.0"
+_BASE_URL = "https://cvinthewildeus.blob.core.windows.net/datasets/"
+
 _ELEVATER_CITATION = """\
 @article{li2022elevater,
     title={ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models},
@@ -36,8 +39,12 @@ Note that each ELEVATER dataset has its own citation. Please see the source to
 get the correct citation for each contained dataset.
 """
 
-_CIFAR_10_DESCRIPTION="""\
-The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images."""
+_VOC_2007_CLASSIFICATION_CITATION="""\
+@misc{pascal-voc-2007,
+	author = "Everingham, M. and Van~Gool, L. and Williams, C. K. I. and Winn, J. and Zisserman, A.",
+	title = "The {PASCAL} {V}isual {O}bject {C}lasses {C}hallenge 2007 {(VOC2007)} {R}esults",
+	howpublished = "http://www.pascal-network.org/challenges/VOC/voc2007/workshop/index.html"
+}"""
 
 _CIFAR_10_CITATION="""\
 @article{krizhevsky2009learning,
@@ -85,7 +92,7 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
             name="cifar-10",
             description="The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.",
             contact="pinjin",
-            version="1.0.0",
+            version=_VERSION,
             type_="classification_multiclass",
             root_folder="classification/cifar_10_20211007",
             labelmap="labels.txt",
@@ -101,8 +108,35 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
                 "num_images": 10000
             },
             citation=_CIFAR_10_CITATION,
-            url="https://cvinthewildeus.blob.core.windows.net/datasets/",
+            url=_BASE_URL,
         ),
+        ELEVATERConfig(
+            "name"="voc-2007-classification",
+            "description"="Voc2007 classification dataset.",
+            "contact"="pinjin",
+            "version"=_VERSION,
+            "type"="classification_multilabel",
+            "root_folder"="classification/voc2007_20211007",
+            "train": {
+                "index_path": "train_ic.txt",
+                "files_for_local_usage": ["train.zip"],
+                "num_images": 2501
+            },
+            "val": {
+                "index_path": "val_ic.txt",
+                "files_for_local_usage": ["train.zip"],
+                "num_images": 2510
+            },
+            "test": {
+                "index_path": "test_ic.txt",
+                "files_for_local_usage": ["test.zip"],
+                "num_images": 4952
+            },
+            "labelmap": "labels.txt",
+            "num_classes": 20,
+            citation=_VOC_2007_CLASSIFICATION_CITATION,
+            url=_BASE_URL,
+        )
     ]
 
     def _info(self):
@@ -121,6 +155,8 @@ class ELEVATER(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         _URL = self.config.url + self.config.root_folder
+        print(self.config.val)
+        print(good)
         urls_to_download = {
             "labelmap": os.path.join(_URL, self.config.labelmap),
             "train": {