Update README.md

README.md

@@ -9,11 +9,11 @@ tags:
 - open-domain
 - emotions
 - intents
-pretty_name: XXConvs
+pretty_name: AEConvs
 size_categories:
 - 1K<n<10K
 ---
-# Dataset Card for Dataset Name
+# Dataset Card for AEConvs
 
 <!-- Provide a quick summary of the dataset. -->
 
@@ -28,7 +28,7 @@ language.
 ## Dataset Details
 
 ## Dataset Language
-The dataset is written in Modern Standard Arabic (MSA), which is the the universal, written, and formal spoken variety of the Arabic language used across the Arab world.
+The dataset is written in Modern Standard Arabic (MSA), which is  the universal, written, and formal spoken variety of the Arabic language used across the Arab world.
 
 ### Dataset Statistics
 
@@ -76,30 +76,16 @@ the release of AEConvs will be a step toward helping Arabic LLMs become more emo
 
 <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
 
-#### Annotation process
-
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-<!-- This section describes the people or systems who created the annotations. -->
-
-[More Information Needed]
+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. -->
 
-All conversations in AEConvs do not contain any personally identifiable information or any sensitive or harmful content. 
-Hence, we believe that the AEConvs dataset is harmless to users, and we expect that models trained using the dataset to be safe and do not generate inappropriate responses which include discrimination, abuse, bias, etc. 
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+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, 
+and we expect that models trained using the dataset to be safe and will not generate inappropriate responses that include discrimination, abuse, bias, etc. 
 
-[More Information Needed]
 
 
 ## Citation