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

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License:

Dataset card Viewer Files Files and versions Community

antypasd commited on Jun 8, 2023

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5fa46c7

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1 Parent(s): 8db321a

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@@ -111,6 +111,7 @@ The data fields are the same among all splits.
 - `definition`: a `string` feature.
 - `text_start`: a `int` feature.
 - `text_end`: a `int` feature.
 #### tweet_emotion
 - `text`: a `string` feature.
@@ -131,7 +132,7 @@ 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 / 407 / 407           |
 | tweet_emotion    | multi-label classification      | 6,838 / 886 / 3,259      |

 - `definition`: a `string` feature.
 - `text_start`: a `int` feature.
 - `text_end`: a `int` feature.
+- `date`: a `string` feature.
 #### tweet_emotion
 - `text`: a `string` feature.
 | 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              | 20,164 / 4,100 / 20,075           |
 | tweet_emotion    | multi-label classification      | 6,838 / 886 / 3,259      |