Datasets:
Tasks:
Question Answering
Languages:
English
Multilinguality:
monolingual
Size Categories:
1M<n<10M
Language Creators:
expert-generated
Annotations Creators:
no-annotation
Source Datasets:
original
License:
albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#2)
943fd2e
metadata
annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- en
license:
- unknown
multilinguality:
- monolingual
pretty_name: QaZre
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- question-answering
task_ids: []
paperswithcode_id: null
tags:
- zero-shot-relation-extraction
dataset_info:
features:
- name: relation
dtype: string
- name: question
dtype: string
- name: subject
dtype: string
- name: context
dtype: string
- name: answers
sequence: string
splits:
- name: test
num_bytes: 29410194
num_examples: 120000
- name: validation
num_bytes: 1481430
num_examples: 6000
- name: train
num_bytes: 2054954011
num_examples: 8400000
download_size: 516061636
dataset_size: 2085845635
Dataset Card for QaZre
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: http://nlp.cs.washington.edu/zeroshot
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 516.06 MB
- Size of the generated dataset: 2.09 GB
- Total amount of disk used: 2.60 GB
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: 516.06 MB
- Size of the generated dataset: 2.09 GB
- Total amount of disk used: 2.60 GB
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.