| --- |
| license: cc-by-4.0 |
| task_categories: |
| - question-answering |
| language: |
| - ar |
| size_categories: |
| - n<1K |
| --- |
| |
| ### Dataset Summary |
|
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| A collection of open-ended questions that was provided to the data marathon competitors to populate KIND dataset. It was designed to elicit longer responses cultural and context-rich sentences. |
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| 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/) |
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|
| ### 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", |
| } |
| |
| ``` |