Add description feature

CC6204-Hackaton-Cub-Dataset.py

@@ -81,9 +81,10 @@ class CubDataset(datasets.GeneratorBasedBuilder):
    def _info(self):
       features = datasets.Features({
          "image": datasets.Image(),
-         "labels": datasets.features.ClassLabel(names=_NAMES),
+         "description": datasets.Value("string"),
+         "label": datasets.features.ClassLabel(names=_NAMES),
       })
-      keys = ("image", "labels")
+      keys = ("image", "description", "label")
       
       return datasets.DatasetInfo(
          description=_DESCRIPTION,
@@ -102,7 +103,6 @@ class CubDataset(datasets.GeneratorBasedBuilder):
       
       # Download images
       data_files = dl_manager.download_and_extract(_URLS["image_urls"])
-      #data_files = dl_manager.download_and_extract(_URLS["mini_images_urls"])
       path_files = dl_manager.iter_files(data_files)
       for img in path_files:
          img_idx = _IMGNAME2ID[os.path.basename(img)]
@@ -112,16 +112,6 @@ class CubDataset(datasets.GeneratorBasedBuilder):
          else:
             test_files.append(img)
             test_idx.append(img_idx)
-      
-      #for batch in data_files:
-         #path_files = dl_manager.iter_files(batch)
-         #for img in path_files:
-            #if img.endswith("\d+.jpg"):
-            #img_idx = _IMGNAME2ID[img]
-            #if img_idx in _TRAIN_IDX_SET:
-               #train_files.append(img)
-            #else:
-               #test_files.append(img)
                
       return [
                  datasets.SplitGenerator(
@@ -148,6 +138,7 @@ class CubDataset(datasets.GeneratorBasedBuilder):
          if file_name.endswith(".jpg"):
             yield i, {
                "image": path,
-               "labels": _ID2LABEL[_IMGID2CLASSID[image_idx[i]]],
+               "description": "lala"
+               "label": _ID2LABEL[_IMGID2CLASSID[image_idx[i]]],
             }