Get metadata csv from zenodo

odor.py

@@ -31,6 +31,7 @@ _HOMEPAGE = "https://zenodo.org/record/10027116"
 
 _LICENSE = "CC BY 4.0"
 
+_META_URL = 'https://zenodo.org/records/10027116/files/meta.csv?download=1'
 
 _CATEGORIES = ['ant', 'camel', 'jewellery', 'frog', 'physalis', 'celery', 'cauliflower', 'pepper', 'ranunculus', 'chess flower', 'cigarette', 'matthiola', 'cabbage', 'earring', 'dandelion', 'neroli', 'dragonfly', 'hyacinth', 'reptile/amphibia', 'apricot', 'snake', 'lizard', 'asparagus', 'spring onion', 'snowflake', 'moth', 'poppy', 'columbine', 'rabbit', 'geranium', 'crab', 'radish', 'big cat', 'jan steen jug', 'monkey', 'snail', 'bellflower', 'lilac', 'pot', 'peony', 'coffeepot', 'hazelnut', 'censer', 'artichoke', 'dahlia', 'sniffing', 'fly', 'deer', 'caterpillar', 'garlic', 'blackberry', 'chalice', 'lobster', 'necklace', 'bug', 'insect', 'prawn', 'bracelet', 'carrot', 'cornflower', 'pumpkin', 'orange', 'walnut', 'cat', 'daisy', 'forget-me-not', 'carafe', 'match', 'beer stein', 'tobacco-box', 'violet', 'pomander', 'bottle', 'candle', 'heliotrope', 'wine bottle', 'strawberry', 'pomegranate', 'whale', 'lily of the valley', 'iris', 'tobacco', 'olive', 'tobacco-packaging', 'meat', 'daffodil', 'melon', 'fire', 'petunia', 'mushroom', 'teapot', 'ring', 'pig', 'ashtray', 'cheese', 'onion', 'cup', 'nut', 'fig', 'drinking vessel', 'donkey', 'holding the nose', 'lily', 'smoke', 'bread', 'currant', 'glass without stem', 'anemone', 'mammal', 'chimney', 'smoking equipment', 'bivalve', 'butterfly', 'gloves', 'lemon', 'horse', 'plum', 'jasmine', 'pear', 'glass with stem', 'vegetable', 'carnation', 'jug', 'goat', 'fish', 'apple', 'tulip', 'cherry', 'cow', 'animal corpse', 'dog', 'fruit', 'bird', 'rose', 'peach', 'sheep', 'pipe', 'grapes', 'flower']
 
@@ -66,10 +67,10 @@ class ODOR(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        def _download_one(entry, overwrite=False):
-            fn, uri, target_pth, retries = entry
-            fn = fn.replace("/", "_")
+
+        def _download_file(uri, target_pth, fn, retries, overwrite=False):
             path = f'{target_pth}/{fn}'
+
             if os.path.exists(path) and not overwrite:
                 return fn
 
@@ -88,8 +89,14 @@ class ODOR(datasets.GeneratorBasedBuilder):
                 else:
                     time.sleep(i)
                     continue
-
             return fn
+
+        def _download_one(entry, overwrite=False):
+            fn, uri, target_pth, retries = entry
+            fn = fn.replace("/", "_")
+
+            return _download_file(uri, target_pth, fn, retries, overwrite)
+
         def _download_all(metadata_pth, target_pth, retries=3):
             df = pd.read_csv(metadata_pth)
             entries = [[*x, target_pth, retries] for x in df[['File Name', 'Image Credits']].values]
@@ -99,9 +106,10 @@ class ODOR(datasets.GeneratorBasedBuilder):
             return results
 
         imgs_dir = f'{self.cache_dir}/images' 
-        csv_pth = f'{self.cache_dir}/meta/meta.csv'
+        csv_pth = _download_file(_META_URL, f'{self.cache_dir}', 'meta.csv', 3)
         if not os.path.isdir(imgs_dir):
             os.makedirs(imgs_dir)
+        
         img_pths = _download_all(csv_pth, imgs_dir)
 
         return [