Hebrew Questions and Answers Dataset
Dataset created by Hebrew Question Answering Dataset
Adjusted by Yuval Avidani, 2024
Description
This dataset is a comprehensive collection of Hebrew question and answer pairs covering a wide range of topics, derived from multiple reliable sources. It is specifically curated to support research and applications in the field of natural language processing, especially for Hebrew language understanding.
Source
This dataset has been compiled and adapted from the Hebrew Question Answering Dataset repository, which is available under the Creative Commons Attribution 4.0 International License.
Dataset Structure
Data Fields
question
: The question text in Hebrew.answer
: The corresponding answer text in Hebrew.
Data Splits
The dataset is split into training, validation, and testing sets to facilitate machine learning applications and model evaluations.
Usage
This dataset can be utilized for a variety of NLP tasks, including but not limited to, question answering systems, chatbots, and other applications requiring understanding of natural language in Hebrew.
Licensing
This work is based on data from the Hebrew Question Answering Dataset and is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
More about CC BY 4.0 License
This license lets others distribute, remix, adapt, and build upon this work, even commercially, as long as they credit the creator for the original creation. This is the most accommodating of licenses offered, in terms of what others can do with the works licensed under it.
For more details, see the full CC BY 4.0 License here: Creative Commons Attribution 4.0 International License.
Citation
If you use this dataset in your research, please cite it using the following format:
Contact
For any questions or issues, please open an issue on the dataset repository or contact Yuval Avidani at yuval.avidani@gmail.com.