Update test_dataset.py

test_dataset.py

@@ -12,45 +12,44 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Beans leaf dataset with images of diseased and health leaves."""
+"""chensu test animal classification dataset with images of cats and dogs"""
 
 import os
 
 import datasets
+from datasets import load_dataset
 from datasets.tasks import ImageClassification
 
 
-_HOMEPAGE = "https://github.com/AI-Lab-Makerere/ibean/"
+_HOMEPAGE = "https://oss.console.aliyun.com/bucket/oss-cn-beijing/340788/object"
 
 _CITATION = """\
-@ONLINE {beansdata,
-    author="Makerere AI Lab",
-    title="Bean disease dataset",
-    month="January",
-    year="2020",
-    url="https://github.com/AI-Lab-Makerere/ibean/"
+@ONLINE {
+    author="chensu"
 }
 """
 
 _DESCRIPTION = """\
-Beans is a dataset of images of beans taken in the field using smartphone
-cameras. It consists of 3 classes: 2 disease classes and the healthy class.
-Diseases depicted include Angular Leaf Spot and Bean Rust. Data was annotated
-by experts from the National Crops Resources Research Institute (NaCRRI) in
-Uganda and collected by the Makerere AI research lab.
+This is a test dataset used to demonstrate the process of creating a hugging face dataset
 """
 
 _URLS = {
-    "train": "https://huggingface.co/datasets/beans/resolve/main/data/train.zip",
-    "validation": "https://huggingface.co/datasets/beans/resolve/main/data/validation.zip",
-    "test": "https://huggingface.co/datasets/beans/resolve/main/data/test.zip",
+    "train": "https://340788.oss-cn-beijing.aliyuncs.com/train.zip",
+    "test": "https://340788.oss-cn-beijing.aliyuncs.com/test.zip",
 }
 
-_NAMES = ["angular_leaf_spot", "bean_rust", "healthy"]
+_NAMES = ["cat", "dog"]
 
 
-class Beans(datasets.GeneratorBasedBuilder):
-    """Beans plant leaf images dataset."""
+class TestDataset(datasets.GeneratorBasedBuilder):
+    """Test classification dataset."""
+    VERSION = datasets.Version("1.1.0")
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="cat", version=VERSION,
+                               description="This part of my cat dataset"),
+        datasets.BuilderConfig(name="dog", version=VERSION,
+                               description="This part of my dog dataset"),
+    ]
 
     def _info(self):
         return datasets.DatasetInfo(
@@ -77,12 +76,6 @@ class Beans(datasets.GeneratorBasedBuilder):
                     "files": dl_manager.iter_files([data_files["train"]]),
                 },
             ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "files": dl_manager.iter_files([data_files["validation"]]),
-                },
-            ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
@@ -94,9 +87,9 @@ class Beans(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, files):
         for i, path in enumerate(files):
             file_name = os.path.basename(path)
-            if file_name.endswith(".jpg"):
+            if file_name.endswith(".jpeg"):
                 yield i, {
                     "image_file_path": path,
                     "image": path,
                     "labels": os.path.basename(os.path.dirname(path)).lower(),
-                }
+                }