init

get_stats.py

@@ -7,9 +7,10 @@ task_description = {
     'tweet_ner7': "sequence labeling",
     'tweet_qa': "generation",
     'tweet_similarity': "regression on two texts",
-    'tweet_topic': "multi-label classification"
+    'tweet_topic': "multi-label classification",
+    "tempo_wic": "binary classification on two texts"
 }
-for task in ['tweet_intimacy', 'tweet_ner7', 'tweet_qa', 'tweet_similarity', 'tweet_topic']:
+for task in task_description.keys():
     data = load_dataset("cardiffnlp/super_tweet_eval", task)
     tmp_table = {"task": task, "description": task_description[task]}
     tmp_table['number of instances'] = " / ".join([str(len(data[s])) for s in ['train', 'validation', 'test']])

super_tweet_eval.py

@@ -2,7 +2,7 @@
 import json
 import datasets
 
-_VERSION = "0.0.4"
+_VERSION = "0.0.5"
 _SUPER_TWEET_EVAL_CITATION = """TBA"""
 _SUPER_TWEET_EVAL_DESCRIPTION = """TBA"""
 _TWEET_TOPIC_DESCRIPTION = """