Refactor dict literals, docstring and download splits

alt.py

@@ -45,31 +45,27 @@ _WIKI_URL = "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/ALT-Parallel
 
 
 class AltParallelConfig(datasets.BuilderConfig):
-    """BuilderConfig for ALT."""
+    """BuilderConfig for ALT Parallel."""
 
     def __init__(self, languages, **kwargs):
-        """BuilderConfig for ALT.
+        """BuilderConfig for ALT Parallel.
 
         Args:
-            for the `datasets.features.text.TextEncoder` used for the features feature.
-
-            languages: languages that will be used for translation. it should be one of the
+            languages: languages that will be used for translation.
             **kwargs: keyword arguments forwarded to super.
         """
 
         name = "alt-parallel"
 
         description = "ALT Parallel Corpus"
-        super(AltParallelConfig, self).__init__(
+        super().__init__(
             name=name,
             description=description,
             version=datasets.Version("1.0.0", ""),
             **kwargs,
         )
 
-        available_langs = set(
-            ["bg", "en", "en_tok", "fil", "hi", "id", "ja", "khm", "lo", "ms", "my", "th", "vi", "zh"]
-        )
+        available_langs = {"bg", "en", "en_tok", "fil", "hi", "id", "ja", "khm", "lo", "ms", "my", "th", "vi", "zh"}
         for language in languages:
             assert language in available_langs
 
@@ -184,7 +180,7 @@ class Alt(datasets.GeneratorBasedBuilder):
         else:
             data_path = dl_manager.download_and_extract(_URLs[self.config.name])
 
-        if self.config.name == "alt-my-transliteration" or self.config.name == "alt-my-west-transliteration":
+        if self.config.name in {"alt-my-transliteration", "alt-my-west-transliteration"}:
             return [
                 datasets.SplitGenerator(
                     name=datasets.Split.TRAIN,
@@ -192,9 +188,7 @@ class Alt(datasets.GeneratorBasedBuilder):
                 )
             ]
         else:
-            data_split = {}
-            for k in _SPLIT:
-                data_split[k] = dl_manager.download_and_extract(_SPLIT[k])
+            data_split = dl_manager.download(_SPLIT)
 
             return [
                 datasets.SplitGenerator(