Update test_dataset.py

test_dataset.py

@@ -12,44 +12,45 @@
 # 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.
-"""chensu test animal classification dataset with images of cats and dogs"""
+"""Beans leaf dataset with images of diseased and health leaves."""
 
 import os
 
 import datasets
-from datasets import load_dataset
 from datasets.tasks import ImageClassification
 
 
-_HOMEPAGE = "https://oss.console.aliyun.com/bucket/oss-cn-beijing/340788/object"
+_HOMEPAGE = "https://github.com/AI-Lab-Makerere/ibean/"
 
 _CITATION = """\
-@ONLINE {
-    author="chensu"
+@ONLINE {beansdata,
+    author="Makerere AI Lab",
+    title="Bean disease dataset",
+    month="January",
+    year="2020",
+    url="https://github.com/AI-Lab-Makerere/ibean/"
 }
 """
 
 _DESCRIPTION = """\
-This is a test dataset used to demonstrate the process of creating a hugging face dataset
+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.
 """
 
 _URLS = {
-    "train": "https://340788.oss-cn-beijing.aliyuncs.com/train.zip",
-    "test": "https://340788.oss-cn-beijing.aliyuncs.com/test.zip",
+    "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",
 }
 
-_NAMES = ["cat", "dog"]
+_NAMES = ["angular_leaf_spot", "bean_rust", "healthy"]
 
 
-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"),
-    ]
+class Beans(datasets.GeneratorBasedBuilder):
+    """Beans plant leaf images dataset."""
 
     def _info(self):
         return datasets.DatasetInfo(
@@ -76,6 +77,12 @@ class TestDataset(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={
@@ -87,9 +94,9 @@ class TestDataset(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, files):
         for i, path in enumerate(files):
             file_name = os.path.basename(path)
-            if file_name.endswith(".jpeg"):
+            if file_name.endswith(".jpg"):
                 yield i, {
                     "image_file_path": path,
                     "image": path,
                     "labels": os.path.basename(os.path.dirname(path)).lower(),
-                }
+                }