removed emojis labels

super_tweeteval.py

@@ -2,7 +2,7 @@
 import json
 import datasets
 
-_VERSION = "0.1.6"
+_VERSION = "0.1.61"
 _SUPER_TWEETEVAL_CITATION = """TBA"""
 _SUPER_TWEETEVAL_DESCRIPTION = """TBA"""
 _TWEET_TOPIC_DESCRIPTION = """
@@ -341,13 +341,15 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
             features['date'] = datasets.Value("string")
         if self.config.name == "tweet_emoji":
             # download class mapping
-            dl_manager = datasets.utils.download_manager.DownloadManager()
-            url_map = "https://huggingface.co/datasets/cardiffnlp/super_tweet_eval/resolve/main/data/tweet_emoji/map.txt"
-            with open(dl_manager.download(url_map)) as f:
-                label_classes = f.readlines()
-            label_classes = [x.strip('\n') for x in label_classes]
-            features['gold_label'] = datasets.features.ClassLabel(
-                names=label_classes)
+            # Temporary disabled (till made public)
+            # dl_manager = datasets.utils.download_manager.DownloadManager()
+            # url_map = "https://huggingface.co/datasets/cardiffnlp/super_tweet_eval/resolve/main/data/tweet_emoji/map.txt"
+            # with open(dl_manager.download(url_map)) as f:
+            #     label_classes = f.readlines()
+            # label_classes = [x.strip('\n') for x in label_classes]
+            # features['gold_label'] = datasets.features.ClassLabel(
+            #     names=label_classes)
+            features['gold_label'] = datasets.Value("int32")
             features["text"] = datasets.Value("string")
         if self.config.name == "tweet_sentiment":
             names = ['strongly negative', 'negative', 'negative or neutral', 'positive', 'strongly positive']