updated script version

super_tweet_eval.py

@@ -2,7 +2,7 @@
 import json
 import datasets
 
-_VERSION = "0.1.39"
+_VERSION = "0.1.40"
 _SUPER_TWEET_EVAL_CITATION = """TBA"""
 _SUPER_TWEET_EVAL_DESCRIPTION = """TBA"""
 _TWEET_TOPIC_DESCRIPTION = """
@@ -221,8 +221,8 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
             description=_TEMPO_WIC_DESCRIPTION,
             citation=_TEMPO_WIC_CITATION,
             features=['gold_label_binary', 'word',
-                      'text_1', 'text_1_tokenized', 'text_start_1', 'text_end_1',
-                      'text_2', 'text_2_tokenized', 'text_start_2', 'text_end_2'],
+                      'text_1', 'text_1_tokenized', 'text_start_1', 'text_end_1', 'date_1',
+                      'text_2', 'text_2_tokenized', 'text_start_2', 'text_end_2', 'date_2'],
             data_url="https://huggingface.co/datasets/cardiffnlp/super_tweet_eval/resolve/main/data/tempo_wic",
         ),
         SuperTweetEvalConfig(
@@ -280,6 +280,8 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
             features["text_end_2"] = datasets.Value("int32")
             features["text_1_tokenized"] = datasets.Sequence(datasets.Value("string"))
             features["text_2_tokenized"] = datasets.Sequence(datasets.Value("string"))
+            features['date_1'] = datasets.Value("string")
+            features['date_2'] = datasets.Value("string")
         if self.config.name == "tweet_hate":
             label_classes = [
                     'hate_gender','hate_race', 'hate_sexuality', 'hate_religion','hate_origin', 'hate_disability',