sentiment: fixed bug I introduced

super_tweeteval.py

@@ -2,7 +2,7 @@
 import json
 import datasets
 
-_VERSION = "0.1.51"
+_VERSION = "0.1.52"
 _SUPER_TWEETEVAL_CITATION = """TBA"""
 _SUPER_TWEETEVAL_DESCRIPTION = """TBA"""
 _TWEET_TOPIC_DESCRIPTION = """
@@ -349,6 +349,12 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
                 names=label_classes)
             features["text"] = datasets.Value("string")
         if self.config.name == "tweet_sentiment":
+            names = ['strongly negative', 'negative', 'negative or neutral', 'positive', 'strongly positive']
+            features["gold_label"] = datasets.features.ClassLabel(
+                names=names)
+            features["target"] = datasets.Value("string")
+            features["text"] = datasets.Value("string")
+        if self.config.name == "tweet_emotion":
             features["text"] = datasets.Value("string")
             names = ['anger', 'anticipation', 'disgust', 'fear', 'joy',
                      'love', 'optimism', 'pessimism', 'sadness', 'surprise', 'trust']