tidy code

illustrated_ads.py

@@ -59,7 +59,7 @@ _DTYPES = {
 
 
 class IllustratedAds(datasets.GeneratorBasedBuilder):
-    """TODO: Short description of my dataset."""
+    """Illustated Historic Newspaper Ads datasets"""
 
     VERSION = datasets.Version("1.1.0")
 
@@ -88,18 +88,10 @@ class IllustratedAds(datasets.GeneratorBasedBuilder):
         )
 
         return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
             description=_DESCRIPTION,
-            # This defines the different columns of the dataset and their types
-            features=features,  # Here we define them above because they are different between the two configurations
-            # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
-            # specify them. They'll be used if as_supervised=True in builder.as_dataset.
-            # supervised_keys=("sentence", "label"),
-            # Homepage of the dataset for documentation
+            features=features,
             homepage=_HOMEPAGE,
-            # License for the dataset if available
             license=_LICENSE,
-            # Citation for the dataset
             citation=_CITATION,
         )
 
@@ -108,12 +100,10 @@ class IllustratedAds(datasets.GeneratorBasedBuilder):
         annotations = dl_manager.download(
             [
                 "https://zenodo.org/record/5838410/files/ads.csv?download=1",
-                "https://zenodo.org/record/5838410/files/sample.csv?download=1"
+                "https://zenodo.org/record/5838410/files/sample.csv?download=1",
             ]
         )
-        df_labels = pd.read_csv(
-            annotations[0], index_col=0
-        )
+        df_labels = pd.read_csv(annotations[0], index_col=0)
         df_metadata = pd.read_csv(
             annotations[1],
             index_col=0,