Update README.md

README.md

@@ -7,8 +7,6 @@ tags:
 - empathetic
 - conversations
 - open-domain
-- emotions
-- intents
 pretty_name: AEConvs
 size_categories:
 - 1K<n<10K
@@ -56,8 +54,6 @@ Most of the dataset (96%) consists of short conversations between
 | conv_id | integer | unique identifier for each conversation 
 | conv_txt | string | conversation context spanning multiple rows between the speaker and the listener
 | role | string | role of the conversation utterance: 'speaker' or 'listener'
-| emotion_label | string | the emotion label of the 'speaker' utterance
-| intent_label | string | the intent label of the 'listener' utterance 
 
 ## Dataset Creation
 The AEConvs dataset is constructed by native Arabic crowd-sourced content writers, where they were asked to engage in dyadic open-domain
@@ -70,12 +66,6 @@ The AEConvs dataset is constructed with the aim of facilitating research into op
 the release of AEConvs will be a step toward helping Arabic LLMs become more emotionally sensitive and culturally aligned.
 
 
-### Annotations 
-
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-
-The AEConvs dataset is annotated with emotions and empathetic intents. The 
-
 #### Personal and Sensitive Information
 
 <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->