Update files from the datasets library (from 1.5.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.5.0

ted_talks_iwslt.py

@@ -217,7 +217,6 @@ class TedTalksIWSLTConfig(datasets.BuilderConfig):
         super(TedTalksIWSLTConfig, self).__init__(
             name=name,
             description=description,
-            version=datasets.Version("1.1.0", ""),
             **kwargs,
         )
 
@@ -234,16 +233,12 @@ class TedTalksIWSLT(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIG_CLASS = TedTalksIWSLTConfig
 
     BUILDER_CONFIGS = [
-        TedTalksIWSLTConfig(language_pair=language_pair, year=year)
+        TedTalksIWSLTConfig(language_pair=language_pair, year=year, version=datasets.Version("1.1.0"))
         for language_pair in _LANGUAGE_PAIRS
         for year in _YEAR.keys()
     ]
 
-    # DEFAULT_CONFIG_NAME = "first_domain"  # It's not mandatory to have a default configuration. Just use one if it make sense.
-
-    def _info(self, language_pair=(None, None), year=None, **kwargs):
-
-        print(self.config.language_pair)
+    def _info(self):
         features = datasets.Features(
             {
                 "translation": datasets.features.Translation(languages=self.config.language_pair),
@@ -303,7 +298,6 @@ class TedTalksIWSLT(datasets.GeneratorBasedBuilder):
         source = filepath[0]
         target = filepath[1]
 
-        # print(filepath)
         language_pair = self.config.name.split("_")
 
         def et_to_dict(tree):
@@ -351,7 +345,7 @@ class TedTalksIWSLT(datasets.GeneratorBasedBuilder):
                         source_ids = list()
                         target_ids = list()
         else:
-            print(f"File doesn't exist {source} or {target}")
+            logger.warning(f"File doesn't exist {source} or {target}")
             source_ids = list()
             target_ids = list()
 
@@ -399,7 +393,6 @@ class TedTalksIWSLT(datasets.GeneratorBasedBuilder):
                     for s, t in transc
                 ]
                 translation.extend(transcriptions)
-        # print(translation)
         for talk_segment in translation:
             result = {
                 "translation": {