Datasets:
Task Categories:
question-answering
Languages:
en
Multilinguality:
monolingual
Size Categories:
1M<n<10M
Licenses:
unknown
Language Creators:
expert-generated
Annotations Creators:
no-annotation
Source Datasets:
original
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Dataset Card for QaZre
Dataset Summary
A dataset reducing relation extraction to simple reading comprehension questions
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
default
- Size of downloaded dataset files: 492.15 MB
- Size of the generated dataset: 1989.22 MB
- Total amount of disk used: 2481.37 MB
An example of 'validation' looks as follows.
{
"answers": [],
"context": "answer",
"question": "What is XXX in this question?",
"relation": "relation_name",
"subject": "Some entity Here is a bit of context which will explain the question in some way"
}
Data Fields
The data fields are the same among all splits.
default
relation
: astring
feature.question
: astring
feature.subject
: astring
feature.context
: astring
feature.answers
: alist
ofstring
features.
Data Splits
name | train | validation | test |
---|---|---|---|
default | 8400000 | 6000 | 120000 |
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
Unknown.
Citation Information
@inproceedings{levy-etal-2017-zero,
title = "Zero-Shot Relation Extraction via Reading Comprehension",
author = "Levy, Omer and
Seo, Minjoon and
Choi, Eunsol and
Zettlemoyer, Luke",
booktitle = "Proceedings of the 21st Conference on Computational Natural Language Learning ({C}o{NLL} 2017)",
month = aug,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/K17-1034",
doi = "10.18653/v1/K17-1034",
pages = "333--342",
}
Contributions
Thanks to @thomwolf, @lhoestq, @ghomasHudson, @lewtun for adding this dataset.