Dataset Card for AEConvs

AEConvs (Arabic Empathetic Conversations) is a genuine Arabic conversational dataset that features more than 4K open-domain dyadic empathetic conversations. Each conversation in the dataset was conducted between two humans, resulting in authentic and natural conversations. The dataset is written in Modern Sandard Arabic (MSA). which is the formal and standardized form of the Arabic language used across the Arabic-speaking world. The AEConvs dataset is constructed with the aim of facilitating research into open-domain conversations in general and, in par- ticular, building and training empathetic conversational models. This dataset provides a valuable resource that captures nuanced emotional and empathetic cues in the Arabic language.

Dataset Language

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

Total conversations	4120
Speaker Utterances	9869
Listnere Utterances	9869
Average utterances per conversation	4.8
Average words per conversation	70
Average words per utterance	14.4

Most of the dataset (96%) consists of short conversations between 4 and 6 turns.

Dataset Sources

• Paper: [More Information Needed]

Dataset Structure

Column name	Data type	Description
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'

Personal and Sensitive Information

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.

Citation

Dataset License

This dataset is licensed under CC BY 4.0.