Datasets:

projecte-aina
/

CaSET-catalan-stance-emotions-twitter

Tasks:

Text Classification

Languages:

DOI:

License:

Dataset card Files Files and versions Community

mmarimon commited on Sep 13, 2023

Commit

24da4b8

•

1 Parent(s): d2b2e54

Update README.md

Files changed (1) hide show

README.md +4 -4

README.md CHANGED Viewed

@@ -56,8 +56,8 @@ This dataset can be used to train models for emotion detection, static stance de
 ### Languages
-The dataset is in Catalan (`ca-CA`).
 ## Dataset Structure
 Each instance in the dataset is a pair of original-answer messages, annotated with the relation between the two messages (the dynamic stance) and the topic of the messages. For each message there is the id to retrieve it with the Twitter API, the emotions identified in the message, and the relation between the message and the topic (static stance). The text fields have to be retrieved using the Twitter API.
@@ -104,7 +104,7 @@ The source language producers are users of Twitter.
 ### Annotations
 - Emotions are annotated in a multi-label fashion. The labels can be: Anger, Anticipation, Disgust, Fear, Joy, Sadness, Surprise, Distrust, and No emotion.
 - Static stance is annotated per message. The labels can be: FAVOUR, AGAINST, NEUTRAL, NA.
 - Dynamic stance is annotated per pair. The labels can be: Agree, Disagree, Elaborate, Query, Neutral, Unrelated, NA.
@@ -150,7 +150,7 @@ This work was funded by the [Departament de la Vicepresidència i de Polítiques
 [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/).
-### Citation Information
 ```

 ### Languages
+The dataset is in Catalan (`ca-ES`).
+CA
 ## Dataset Structure
 Each instance in the dataset is a pair of original-answer messages, annotated with the relation between the two messages (the dynamic stance) and the topic of the messages. For each message there is the id to retrieve it with the Twitter API, the emotions identified in the message, and the relation between the message and the topic (static stance). The text fields have to be retrieved using the Twitter API.
 ### Annotations
 - Emotions are annotated in a multi-label fashion. The labels can be: Anger, Anticipation, Disgust, Fear, Joy, Sadness, Surprise, Distrust, and No emotion.
+CA
 - Static stance is annotated per message. The labels can be: FAVOUR, AGAINST, NEUTRAL, NA.
 - Dynamic stance is annotated per pair. The labels can be: Agree, Disagree, Elaborate, Query, Neutral, Unrelated, NA.
 [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/).
+### Citation InformationCA
 ```