Datasets:

cardiffnlp
/

super_tweeteval

Tasks:

Text Classification

Token Classification

Question Answering

Modalities:

Formats:

Sub-tasks:

topic-classification

named-entity-recognition

Languages:

Size:

ArXiv:

Tags:

super_tweet_eval

natural language understanding

Libraries:

License:

Dataset card Data Studio Files Files and versions

asahi417 commited on Jun 22, 2023

Commit

98cddb6

·

1 Parent(s): 8fbb1b6

Update get_stats.py

Files changed (1) hide show

get_stats.py +1 -1

get_stats.py CHANGED Viewed

@@ -15,7 +15,7 @@ task_description = {
     "tweet_nerd": "binary classification"
 }
 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']])
     table.append(tmp_table)

     "tweet_nerd": "binary classification"
 }
 for task in task_description.keys():
+    data = load_dataset(".", 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']])
     table.append(tmp_table)