Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: apache-2.0
+license: cc-by-4.0
 language: ar
 task_categories:
 - text-generation
@@ -55,23 +55,13 @@ Most of the dataset (96%) consists of short conversations between
 | conv_txt | string | conversation context spanning multiple rows between the speaker and the listener
 | role | string | role of the conversation utterance: 'speaker' or 'listener'
 
-## Dataset Creation
-The AEConvs dataset is constructed by native Arabic crowd-sourced content writers, where they were asked to engage in dyadic open-domain
-conversations with each other in a chatting platform. Each conversation consistes of one speaker and one listener, where the speaker is asked to initiate the conversation about a daily event or an emotional incident, and the listener is advised to respond in an empathetic manner. The speaker and
-listener can alternate turns in each conversation by a minimum of 4 and up to 10 turns.
-
-### Curation Rationale
-
-The AEConvs dataset is constructed with the aim of facilitating research into open-domain conversations in general and, in particular, for building and training empathetic conversational models. We believe that
-the release of AEConvs will be a step toward helping Arabic LLMs become more emotionally sensitive and culturally aligned.
 
 
 #### 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. -->
 
-The AEConvs dataset creators were advised to refrain from revealing personal information or discussing controversial topics such as politics, sex, and religion. In addition, manual proofreading and quality
-checks were performed on the dataset. We believe that all conversations in AEConvs do not contain any personally identifiable information or any sensitive or harmful content, 
+We believe that all conversations in AEConvs do not contain any personally identifiable information or any sensitive or harmful content, 
 and we expect that models trained using the dataset to be safe and will not generate inappropriate responses that include discrimination, abuse, bias, etc.