license:cc-by-sa-4.0 arxiv:1910.11856 region:us
---
license: cc-by-sa-4.0
configs:
- config_name: default
  data_files:
  - split: en
    path: data/en-*
  - split: de
    path: data/de-*
  - split: es
    path: data/es-*
  - split: it
    path: data/it-*
dataset_info:
  features:
  - name: id
    dtype: string
  - name: context
    dtype: string
  - name: question
    dtype: string
  - name: answers
    sequence:
    - name: text
      dtype: string
    - name: answer_start
      dtype: int32
  splits:
  - name: en
    num_bytes: 729684.8924369748
    num_examples: 778
  - name: de
    num_bytes: 838982.7781512605
    num_examples: 778
  - name: es
    num_bytes: 832574.4117647059
    num_examples: 778
  - name: it
    num_bytes: 739646.5447480896
    num_examples: 778
  download_size: 729382
  dataset_size: 3140888.627101031
---
# Dataset Card

### Dataset Summary

This dataset contains multilingual, parallel SQuAD dataset examples across EN, DE, ES, and IT. To construct the dataset, identifiers were aligned across the following SQuAD-related datasets:
* EN, DE, ES: [XQuAD (Cross-lingual Question Answering Dataset)](https://huggingface.co/datasets/xquad)
* IT: [SQuAD-it](https://huggingface.co/datasets/squad_it)

See citation information below.

### Citation Information

XQuAD:

```
@article{Artetxe:etal:2019,
      author    = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},
      title     = {On the cross-lingual transferability of monolingual representations},
      journal   = {CoRR},
      volume    = {abs/1910.11856},
      year      = {2019},
      archivePrefix = {arXiv},
      eprint    = {1910.11856}
}
```


SQuAD-it:

```
@InProceedings{10.1007/978-3-030-03840-3_29,
    author="Croce, Danilo and Zelenanska, Alexandra and Basili, Roberto",
    editor="Ghidini, Chiara and Magnini, Bernardo and Passerini, Andrea and Traverso, Paolo",
    title="Neural Learning for Question Answering in Italian",
    booktitle="AI*IA 2018 -- Advances in Artificial Intelligence",
    year="2018",
    publisher="Springer International Publishing",
    address="Cham",
    pages="389--402",
    isbn="978-3-030-03840-3"
}
```
