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 Viewer Files Files and versions Community

asahi417 commited on Jun 5, 2023

Commit

ff8ecb5

•

1 Parent(s): bbe33c2

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -131,7 +131,7 @@ The data fields are the same among all splits.
 | tweet_hate       | multi-class classification         | 5,019 / 716 / 1,433     |
 | tweet_emoji      | multi-class classification         | 50,000 / 5,000 / 50,000 |
 | tweet_sentiment  | ABSA on a five-pointscale          | 26,632 / 4,000 / 12,379  |
-| tweet_nerd       | binary classification              | * / 407 / *           |
 | tweet_emotion    | multi-label classification      | 6,838 / 886 / 3,259      |

 | tweet_hate       | multi-class classification         | 5,019 / 716 / 1,433     |
 | tweet_emoji      | multi-class classification         | 50,000 / 5,000 / 50,000 |
 | tweet_sentiment  | ABSA on a five-pointscale          | 26,632 / 4,000 / 12,379  |
+| tweet_nerd       | binary classification              | 407 / 407 / 407           |
 | tweet_emotion    | multi-label classification      | 6,838 / 886 / 3,259      |