improved yield

ted_talks.py

@@ -53,7 +53,10 @@ class TedTalks(datasets.GeneratorBasedBuilder):
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=datasets.Features(
-                {"translation": datasets.features.Translation(languages=self.config.language_pair)}
+                {
+                    self.config.source: datasets.features.Value("string"),   
+                    self.config.target: datasets.features.Value("string"),
+                }
             ),
             homepage="https://github.com/neulab/word-embeddings-for-nmt",
             citation=_CITATION,
@@ -147,6 +150,5 @@ class TedTalks(datasets.GeneratorBasedBuilder):
 
         if len(source_target_pairs) > 0:
             source_sentences, target_sentences = zip(*source_target_pairs)
-
             for idx, (l1, l2) in enumerate(zip(source_sentences, target_sentences)):
-                yield idx, {"translation": {self.config.source: l1, self.config.target: l2}}
+                yield idx, {self.config.source: l1, self.config.target: l2}