fix readme

analogy_questions.py

@@ -5,7 +5,7 @@ import datasets
 logger = datasets.logging.get_logger(__name__)
 _DESCRIPTION = """[Analogy Question](https://aclanthology.org/2021.acl-long.280/)"""
 _NAME = "analogy_questions"
-_VERSION = "1.0.2"
+_VERSION = "1.0.3"
 _CITATION = """
 @inproceedings{ushio-etal-2021-bert,
     title = "{BERT} is to {NLP} what {A}lex{N}et is to {CV}: Can Pre-Trained Language Models Identify Analogies?",
@@ -80,15 +80,11 @@ class AnalogyQuestion(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        if self.config.name == 'sat_full':
-            downloaded_file = dl_manager.download_and_extract({
-                str(datasets.Split.TEST): _URLS[str(datasets.Split.TEST)][self.config.name]
-            })
-            return [datasets.SplitGenerator(name=str(datasets.Split.TEST),
-                                            gen_kwargs={"filepaths": downloaded_file[str(datasets.Split.TEST)]})]
-        else:
-            downloaded_file = dl_manager.download_and_extract({k: v[self.config.name] for k, v in _URLS.items()})
-            return [datasets.SplitGenerator(name=k, gen_kwargs={"filepaths": downloaded_file[k]}) for k in _URLS.keys()]
+        target_urls = {k: v[self.config.name] for k, v in _URLS.items() if self.config.name in v}
+        downloaded_file = dl_manager.download_and_extract(target_urls)
+        return [datasets.SplitGenerator(
+            name=k, gen_kwargs={"filepaths": downloaded_file[k]}
+        ) for k, v in _URLS.items() if self.config.name in v]
 
     def _generate_examples(self, filepaths):
         _key = 0