init

README.md

@@ -13,6 +13,7 @@ and `answer` indicates the index of correct candidate which starts from `0`. Dat
 
 | Dataset | Size (valid/test) | Num of choice | Num of relation group | Original Reference                                                         |
 |---------|------------------:|--------------:|----------------------:|:--------------------------------------------------------------------------:|
+| sat_full| -/374             | 5             | 2                     | [Turney (2005)](https://arxiv.org/pdf/cs/0508053.pdf)                      |
 | sat     | 37/337            | 5             | 2                     | [Turney (2005)](https://arxiv.org/pdf/cs/0508053.pdf)                      |
 | u2      | 24/228            | 5,4,3         | 9                     | [EnglishForEveryone](https://englishforeveryone.org/Topics/Analogies.html) |
 | u4      | 48/432            | 5,4,3         | 5                     | [EnglishForEveryone](https://englishforeveryone.org/Topics/Analogies.html) |

analogy_questions.py

@@ -38,6 +38,7 @@ _URLS = {
             'bats': [f'{_URL}/bats/valid.jsonl'],
             'google': [f'{_URL}/google/valid.jsonl'],
             'sat': [f'{_URL}/sat/valid.jsonl'],
+            'sat_full': [],
             'u2': [f'{_URL}/u2/valid.jsonl'],
             'u4': [f'{_URL}/u4/valid.jsonl']
         }
@@ -81,9 +82,11 @@ class AnalogyQuestion(datasets.GeneratorBasedBuilder):
             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()]
+            return [datasets.SplitGenerator(name=k, gen_kwargs={"filepaths": downloaded_file[k]}) for k in _URLS.keys()]
 
     def _generate_examples(self, filepaths):
         _key = 0