| --- |
| task_categories: |
| - question-answering |
| language: |
| - he |
| --- |
| |
| # ParaShoot |
|
|
| [ParaShoot](https://github.com/omrikeren/ParaShoot): A Hebrew question and answering dataset in the style of [SQuAD](https://arxiv.org/abs/1606.05250), based on articles scraped from Wikipedia. The dataset contains a few thousand crowdsource-annotated pairs of questions and answers, in a setting suitable for few-shot learning. |
|
|
| For more details and quality analysis, see the [paper](https://arxiv.org/abs/2109.11314). |
|
|
| ## Dataset Statistics |
|
|
| | **#Items** | **#Articles** | **#Paragraphs** | | |
| | ---------- | ------------- | --------------- | ------- | |
| | Train | 1792 | 295 | 565 | |
| | Dev | 221 | 33 | 63 | |
| | Test | 1025 | 165 | 319 | |
| | **Total** | **3038** | **493** | **947** | |
|
|
|
|
| ## Citing |
| If you use ParaShoot in your research, please cite the ParaShoot paper: |
| ```bibtex |
| @inproceedings{keren2021parashoot, |
| title={ParaShoot: A Hebrew Question Answering Dataset}, |
| author={Keren, Omri and Levy, Omer}, |
| booktitle={Proceedings of the 3rd Workshop on Machine Reading for Question Answering}, |
| pages={106--112}, |
| year={2021} |
| } |
| ``` |
