Datasets:
Tasks:
Question Answering
Sub-tasks:
extractive-qa
Languages:
Spanish
Size:
10K<n<100K
ArXiv:
License:
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Dataset Card for "squad_es"
Dataset Summary
Automatic translation of the Stanford Question Answering Dataset (SQuAD) v2 into Spanish
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
v1.1.0
- Size of downloaded dataset files: 39.29 MB
- Size of the generated dataset: 94.63 MB
- Total amount of disk used: 133.92 MB
An example of 'train' looks as follows.
This example was too long and was cropped:
{
"answers": {
"answer_start": [404, 356, 356],
"text": ["Santa Clara, California", "Levi 's Stadium", "Levi 's Stadium en la Bahía de San Francisco en Santa Clara, California."]
},
"context": "\"El Super Bowl 50 fue un partido de fútbol americano para determinar al campeón de la NFL para la temporada 2015. El campeón de ...",
"id": "56be4db0acb8001400a502ee",
"question": "¿Dónde tuvo lugar el Super Bowl 50?",
"title": "Super Bowl _ 50"
}
Data Fields
The data fields are the same among all splits.
v1.1.0
id
: astring
feature.title
: astring
feature.context
: astring
feature.question
: astring
feature.answers
: a dictionary feature containing:text
: astring
feature.answer_start
: aint32
feature.
Data Splits
name | train | validation |
---|---|---|
v1.1.0 | 87595 | 10570 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
The SQuAD-es dataset is licensed under the CC BY 4.0 license.
Citation Information
@article{2016arXiv160605250R,
author = {Casimiro Pio , Carrino and Marta R. , Costa-jussa and Jose A. R. , Fonollosa},
title = "{Automatic Spanish Translation of the SQuAD Dataset for Multilingual
Question Answering}",
journal = {arXiv e-prints},
year = 2019,
eid = {arXiv:1912.05200v1},
pages = {arXiv:1912.05200v1},
archivePrefix = {arXiv},
eprint = {1912.05200v2},
}
Contributions
Thanks to @patrickvonplaten, @thomwolf, @albertvillanova, @lewtun for adding this dataset.
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