Datasets:
Tasks:
Question Answering
Modalities:
Text
Sub-tasks:
extractive-qa
Languages:
English
Size:
10K - 100K
ArXiv:
License:
metadata
license: cc-by-4.0
pretty_name: SQuAD with QG split.
language: en
multilinguality: monolingual
size_categories: 1M<
source_datasets:
- extended|wikipedia
task_categories:
- question-answering
task_ids:
- extractive-qa
Dataset Card for "lmqg/qa_squad"
Dataset Description
- Repository: https://github.com/asahi417/lm-question-generation
- Paper: https://rajpurkar.github.io/SQuAD-explorer/
- Point of Contact: Asahi Ushio
Dataset Summary
This is the SQuAD v1 dataset with the train/validatio/test split used in qg_squad.
Supported Tasks and Leaderboards
question-answering
Languages
English (en)
Dataset Structure
Data Fields
The data fields are the same among all splits.
plain_text
id
: astring
feature of idtitle
: astring
feature of title of the paragraphcontext
: astring
feature of paragraphquestion
: astring
feature of questionanswers
: ajson
feature of answers
Data Splits
train | validation | test |
---|---|---|
75,722 | 10,570 | 11,877 |
Citation Information
@article{2016arXiv160605250R,
author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
Konstantin and {Liang}, Percy},
title = "{SQuAD: 100,000+ Questions for Machine Comprehension of Text}",
journal = {arXiv e-prints},
year = 2016,
eid = {arXiv:1606.05250},
pages = {arXiv:1606.05250},
archivePrefix = {arXiv},
eprint = {1606.05250},
}