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---
license: cc-by-4.0
task_categories:
- question-answering
language:
- ar
size_categories:
- 10K<n<100K
---
### Dataset Summary
KIND dataset is a new dilectal data dataset.
The dataset was a result of a data marathon competition, where the competitor's goal is to respond to as many prompts as possible in their own dialect, within a fixed time frame with as few errors as possible.
For more details, please check the paper
[The KIND Dataset: A Social Collaboration Approach for Nuanced Dialect Data Collection](https://aclanthology.org/2024.eacl-srw.3/)
### Data Fields
- dialect_code: the label that indicates the specific dialect the text belongs to.
- sentenceOriginID: the identifier that references the MSA sentence translated (1000000-2000000), or the reference to link the question to the constructed question dataset (2000000-3000000).
- textString: the submitted sentence
### Citation Information
```
@inproceedings{yamani-etal-2024-kind,
title = "The {KIND} Dataset: A Social Collaboration Approach for Nuanced Dialect Data Collection",
author = "Yamani, Asma and
Alziyady, Raghad and
AlYami, Reem and
Albelali, Salma and
Albelali, Leina and
Almulhim, Jawharah and
Alsulami, Amjad and
Alfarraj, Motaz and
Al-Zaidy, Rabeah",
editor = "Falk, Neele and
Papi, Sara and
Zhang, Mike",
booktitle = "Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop",
month = mar,
year = "2024",
address = "St. Julian{'}s, Malta",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.eacl-srw.3",
pages = "32--43",
}
``` |