updated script version

super_tweet_eval.py

@@ -2,7 +2,7 @@
 import json
 import datasets
 
-_VERSION = "0.1.33"
+_VERSION = "0.1.34"
 _SUPER_TWEET_EVAL_CITATION = """TBA"""
 _SUPER_TWEET_EVAL_DESCRIPTION = """TBA"""
 _TWEET_TOPIC_DESCRIPTION = """
@@ -250,7 +250,7 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
             name="tweet_sentiment",
             description=_TWEET_SENTIMENT_DESCRIPTION,
             citation=_TWEET_SENTIMENT_CITATION,
-            features=['gold_label', 'topic', 'text'],
+            features=['gold_label', 'target', 'text'],
             data_url="https://huggingface.co/datasets/cardiffnlp/super_tweet_eval/resolve/main/data/tweet_sentiment",
         )
     ]
@@ -274,8 +274,12 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
             features["gold_score"] = datasets.Value("float32")
         if self.config.name == "tempo_wic":
             features["gold_label_binary"] = datasets.Value("int32")
-            features["token_idx_1"] = datasets.Value("int32")
-            features["token_idx_2"] = datasets.Value("int32")
+            # features["token_idx_1"] = datasets.Value("int32")
+            # features["token_idx_2"] = datasets.Value("int32")
+            features["text_start_1"] = datasets.Value("int32")
+            features["text_start_2"] = datasets.Value("int32")
+            features["text_end_1"] = datasets.Value("int32")
+            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"))
         if self.config.name == "tweet_hate":
@@ -298,7 +302,7 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
         if self.config.name == "tweet_sentiment":
             features["gold_label"] = datasets.Value("int32")
             features["text"] = datasets.Value("string")
-            features["topic"] = datasets.Value("string")
+            features["target"] = datasets.Value("string")
 
 
         return datasets.DatasetInfo(