nerd: changed names; sent: changed topic to target

process/tempo_wic.py

@@ -28,10 +28,12 @@ for s in ['train', 'validation', 'test']:
         tmp.update({f"{k}_2": v for k, v in i['tweet2'].items()})
         tmp['text_2_tokenized'] = tmp.pop('tokens_2')
         tmp.pop("id")
-        tmp.pop("text_start_1")
-        tmp.pop("text_end_1")
-        tmp.pop("text_start_2")
-        tmp.pop("text_end_2")
+        tmp.pop("token_idx_1")
+        tmp.pop("token_idx_2")
+        # tmp.pop("text_start_1")
+        # tmp.pop("text_end_1")
+        # tmp.pop("text_start_2")
+        # tmp.pop("text_end_2")
         data_jl.append(tmp)
 
     with open(f"data/tempo_wic/{s}.jsonl", "w") as f:

process/tweet_sentiment.py

@@ -13,7 +13,7 @@ def clean_text(text):
         # MAKE SURE to check lowercase
         t = '@user' if t.startswith('@') and len(t) > 1 and t.replace(
             '@', '').lower() not in verified_users else t
-        t = '\{URL\}' if t.startswith('http') else t
+        t = '{URL}' if t.startswith('http') else t
         new_text.append(t)
 
     return ' '.join(new_text)

super_tweet_eval.py

@@ -2,7 +2,7 @@
 import json
 import datasets
 
-_VERSION = "0.1.31"
+_VERSION = "0.1.32"
 _SUPER_TWEET_EVAL_CITATION = """TBA"""
 _SUPER_TWEET_EVAL_DESCRIPTION = """TBA"""
 _TWEET_TOPIC_DESCRIPTION = """