fix dataset

process/tweet_ner.py

@@ -74,6 +74,7 @@ def process(tmp):
         entities = decode_ner_tags(i['tags'].tolist(), i['tokens'].tolist())
         for e in entities:
             e.pop("position")
+            e["entity"] = " ".join(e["entity"])
         i['gold_label_sequence'] = i.pop('tags').tolist()
         i['text_tokenized'] = i.pop('tokens').tolist()
         i['text'] = ' '.join(i['text_tokenized'])

process/unify_sp_symbol.py

@@ -19,10 +19,15 @@ for i in glob("data/tweet_ner7/*.jsonl"):
         data = [json.loads(j) for j in f.readlines()]
     for d in data:
         d['text'] = d['text'].replace("{{USERNAME}}", "@user").replace("{{URL}}", "{URL}")
-        d['text'] = re.sub(r'\{@([^@].)@}', r'\1', d['text'])
+        d['text_tokenized'] = [y if y != "{{USERNAME}}" else "@user" for y in d['text_tokenized']]
+        d['text_tokenized'] = [y if y != "{{URL}}" else "{URL}" for y in d['text_tokenized']]
+
         for t in re.findall(r'{@[^@^}]*@}', d['text']):
             t_new = t.replace("{@", "@").replace("@}", "").replace(" ", "_")
             d['text'] = d['text'].replace(t, t_new)
-            d['text_tokenized'] =
+            d['text_tokenized'] = [y if y != t else t_new for y in d['text_tokenized']]
+            for e in d['entities']:
+                e['']
+
     with open(i, "w") as f:
         f.write("\n".join([json.dumps(j) for j in data]))