Datasets:
Tasks:
Question Answering
Sub-tasks:
extractive-qa
Languages:
Spanish
Size:
10K<n<100K
ArXiv:
License:
metadata
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- es
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|squad
task_categories:
- question-answering
task_ids:
- extractive-qa
paperswithcode_id: squad-es
pretty_name: SQuAD-es
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
sequence:
- name: text
dtype: string
- name: answer_start
dtype: int32
config_name: v1.1.0
splits:
- name: train
num_bytes: 83680438
num_examples: 87595
- name: validation
num_bytes: 10955800
num_examples: 10570
download_size: 39291362
dataset_size: 94636238
Dataset Card for "squad_es"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://github.com/ccasimiro88/TranslateAlignRetrieve
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 39.29 MB
- Size of the generated dataset: 94.63 MB
- Total amount of disk used: 133.92 MB
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 Bah铆a de San Francisco en Santa Clara, California."]
},
"context": "\"El Super Bowl 50 fue un partido de f煤tbol americano para determinar al campe贸n de la NFL para la temporada 2015. El campe贸n de ...",
"id": "56be4db0acb8001400a502ee",
"question": "驴D贸nde 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: astringfeature.title: astringfeature.context: astringfeature.question: astringfeature.answers: a dictionary feature containing:text: astringfeature.answer_start: aint32feature.
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},
}