Datasets:
license: mit
language:
- en
paperswithcode_id: embedding-data/WikiAnswers
pretty_name: WikiAnswers
Dataset Card for "WikiAnswers"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://github.com/afader/oqa#wikianswers-corpus
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: Anthony Fader, Luke Zettlemoyer, Oren Etzioni
Dataset Summary
The WikiAnswers corpus contains clusters of questions tagged by WikiAnswers users as paraphrases. Each cluster optionally contains an answer provided by WikiAnswers users. There are 30,370,994 clusters containing an average of 25 questions per cluster. 3,386,256 (11%) of the clusters have an answer.
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
Data Fields
Data Splits
The data can be downloaded from: http://knowitall.cs.washington.edu/oqa/data/wikianswers/. The corpus is split into 40 gzip-compressed files. The total compressed filesize is 8GB; the total decompressed filesize is 40GB. Each file contains one cluster per line. Each cluster is a tab-separated list of questions and answers. Questions are prefixed by q: and answers are prefixed by a:. Here is an example cluster (tabs replaced with newlines):
q:How many muslims make up indias 1 billion population?
q:How many of india's population are muslim?
q:How many populations of muslims in india?
q:What is population of muslims in india?
a:Over 160 million Muslims per Pew Forum Study as of October 2009.
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
Citation Information
@inproceedings{Fader14,
author = {Anthony Fader and Luke Zettlemoyer and Oren Etzioni},
title = {{Open Question Answering Over Curated and Extracted
Knowledge Bases}},
booktitle = {KDD},
year = {2014}
}
Contributions
Thanks to Anthony Fader, Luke Zettlemoyer, Oren Etzioni for adding this dataset.