metadata
dataset_info:
features:
- name: context
dtype: string
- name: response
dtype: string
- name: label
dtype:
class_label:
names:
'0': afraid
'1': surprised
'2': embarrassed
'3': excited
'4': nostalgic
'5': trusting
'6': terrified
'7': furious
'8': hopeful
'9': disgusted
'10': sentimental
'11': anxious
'12': anticipating
'13': prepared
'14': guilty
'15': annoyed
'16': confident
'17': sad
'18': impressed
'19': grateful
'20': caring
'21': disappointed
'22': apprehensive
'23': jealous
'24': content
'25': angry
'26': proud
'27': devastated
'28': faithful
'29': ashamed
'30': joyful
'31': lonely
splits:
- name: train
num_bytes: 8024260
num_examples: 36628
download_size: 4247519
dataset_size: 8024260
Dataset Card for arabic_empathetic_conversations
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: [info]
- Repository: [info]
- Paper: [info]
- Leaderboard: [info]
- Point of Contact: [info]
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
@inproceedings{naous-etal-2021-empathetic,
title = "Empathetic {BERT}2{BERT} Conversational Model: Learning {A}rabic Language Generation with Little Data",
author = "Naous, Tarek and Antoun, Wissam and Mahmoud, Reem and Hajj, Hazem",
booktitle = "Proceedings of the Sixth Arabic Natural Language Processing Workshop",
month = apr,
year = "2021",
address = "Kyiv, Ukraine (Virtual)",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2021.wanlp-1.17",
pages = "164--172",
}
Contributions
Thanks to @github-username for adding this dataset.