Datasets:
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- open-domain-qa
paperswithcode_id: wikiqa
pretty_name: WikiQA
dataset_info:
features:
- name: question_id
dtype: string
- name: question
dtype: string
- name: document_title
dtype: string
- name: answer
dtype: string
- name: label
dtype:
class_label:
names:
'0': '0'
'1': '1'
splits:
- name: test
num_bytes: 1337903
num_examples: 6165
- name: train
num_bytes: 4469148
num_examples: 20360
- name: validation
num_bytes: 591833
num_examples: 2733
download_size: 7094233
dataset_size: 6398884
Dataset Card for "wiki_qa"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://www.microsoft.com/en-us/download/details.aspx?id=52419
- Repository: More Information Needed
- Paper: WikiQA: A Challenge Dataset for Open-Domain Question Answering
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 6.77 MB
- Size of the generated dataset: 6.10 MB
- Total amount of disk used: 12.87 MB
Dataset Summary
Wiki Question Answering corpus from Microsoft.
The WikiQA corpus is a publicly available set of question and sentence pairs, collected and annotated for research on open-domain question answering.
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
default
- Size of downloaded dataset files: 6.77 MB
- Size of the generated dataset: 6.10 MB
- Total amount of disk used: 12.87 MB
An example of 'train' looks as follows.
{
"answer": "Glacier caves are often called ice caves , but this term is properly used to describe bedrock caves that contain year-round ice.",
"document_title": "Glacier cave",
"label": 0,
"question": "how are glacier caves formed?",
"question_id": "Q1"
}
Data Fields
The data fields are the same among all splits.
default
question_id: astringfeature.question: astringfeature.document_title: astringfeature.answer: astringfeature.label: a classification label, with possible values including0(0),1(1).
Data Splits
| name | train | validation | test |
|---|---|---|---|
| default | 20360 | 2733 | 6165 |
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
MICROSOFT RESEARCH DATA LICENSE AGREEMENT FOR MICROSOFT RESEARCH WIKIQA CORPUS
These license terms are an agreement between Microsoft Corporation (or based on where you live, one of its affiliates) and you. Please read them. They apply to the data associated with this license above, which includes the media on which you received it, if any. The terms also apply to any Microsoft:
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- supplements,
- Internet-based services, and
- support services for this data, unless other terms accompany those items. If so, those terms apply. BY USING THE DATA, YOU ACCEPT THESE TERMS. IF YOU DO NOT ACCEPT THEM, DO NOT USE THE DATA. If you comply with these license terms, you have the rights below.
- SCOPE OF LICENSE. a. You may use, copy, modify, create derivative works, and distribute the Dataset: i. for research and technology development purposes only. Examples of research and technology development uses are teaching, academic research, public demonstrations and experimentation ; and ii. to publish (or present papers or articles) on your results from using such Dataset. b. The data is licensed, not sold. This agreement only gives you some rights to use the data. Microsoft reserves all other rights. Unless applicable law gives you more rights despite this limitation, you may use the data only as expressly permitted in this agreement. In doing so, you must comply with any technical limitations in the data that only allow you to use it in certain ways. You may not
- work around any technical limitations in the data;
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- rent, lease or lend the data;
- transfer the data or this agreement to any third party; or
- use the data directly in a commercial product without Microsoft’s permission.
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ENTIRE AGREEMENT. This Agreement, and the terms for supplements, updates, Internet-based services and support services that you use, are the entire agreement for the Dataset.
SUPPORT SERVICES. Because this data is “as is,” we may not provide support services for it.
APPLICABLE LAW. a. United States. If you acquired the software in the United States, Washington state law governs the interpretation of this agreement and applies to claims for breach of it, regardless of conflict of laws principles. The laws of the state where you live govern all other claims, including claims under state consumer protection laws, unfair competition laws, and in tort. b. Outside the United States. If you acquired the software in any other country, the laws of that country apply.
LEGAL EFFECT. This Agreement describes certain legal rights. You may have other rights under the laws of your country. You may also have rights with respect to the party from whom you acquired the Dataset. This Agreement does not change your rights under the laws of your country if the laws of your country do not permit it to do so.
DISCLAIMER OF WARRANTY. The Dataset is licensed “as-is.” You bear the risk of using it. Microsoft gives no express warranties, guarantees or conditions. You may have additional consumer rights or statutory guarantees under your local laws which this agreement cannot change. To the extent permitted under your local laws, Microsoft excludes the implied warranties of merchantability, fitness for a particular purpose and non- infringement.
LIMITATION ON AND EXCLUSION OF REMEDIES AND DAMAGES. YOU CAN RECOVER FROM MICROSOFT AND ITS SUPPLIERS ONLY DIRECT DAMAGES UP TO U.S. $5.00. YOU CANNOT RECOVER ANY OTHER DAMAGES, INCLUDING CONSEQUENTIAL, LOST PROFITS, SPECIAL, INDIRECT OR INCIDENTAL DAMAGES.
This limitation applies to
- anything related to the software, services, content (including code) on third party Internet sites, or third party programs; and Page 2 of 3
- claims for breach of contract, breach of warranty, guarantee or condition, strict liability, negligence, or other tort to the extent permitted by applicable law.
It also applies even if Microsoft knew or should have known about the possibility of the damages. The above limitation or exclusion may not apply to you because your country may not allow the exclusion or limitation of incidental, consequential or other damages.
Citation Information
@inproceedings{yang-etal-2015-wikiqa,
title = "{W}iki{QA}: A Challenge Dataset for Open-Domain Question Answering",
author = "Yang, Yi and
Yih, Wen-tau and
Meek, Christopher",
booktitle = "Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing",
month = sep,
year = "2015",
address = "Lisbon, Portugal",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D15-1237",
doi = "10.18653/v1/D15-1237",
pages = "2013--2018",
}
Contributions
Thanks to @patrickvonplaten, @mariamabarham, @lewtun, @thomwolf for adding this dataset.