|
--- |
|
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} |
|
} |
|
``` |
