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Dataset Card for WhatsThatBook
Dataset Summary
A collection of tip-of-the-tongue queries for book searches. The dataset was curated from GoodReads community forum user queries. It seves as a training and evaluation resource for tip-of-the-tongue book queries. The user queries contain the interactions on the community forum and the documents are books with associated metadata.
Supported Tasks and Leaderboards
WhatsThatBook is intended for information retrieval tasks including but not limited to standard retrieval, using just the original query posted by the user and interactive settings, where the system asks clarification queries to narrow down the user's information needs.
Languages
The dataset is primary in English, some book descriptions may contain other languages.
Dataset Structure
Data Fields
Data fields for WhatsThatBook queries:
question: Inital query posted to the community forumquestion_posted_date: The date that the query was posted in YYYY-MM-DD formatbook_id: ID of the gold book used for evaluationanswers: List of the gold book descriptions
The fields for the books:
title: The title of the bookauthor: The author of the bookauthor_url: Link to the author pagedescriptionThe blurb of the book that contains description of the plot orisbn_13: The ISBN 13 numberdate: String representation of the date from the book webpageparsed_dates:A list of the publication date parsed out in YYYY-MM-DD formatimage_link: original link to imageratings: Total number of ratingsreviews: Total number of reviewsgenres: Dictionary of genre tags to number of times tagged with that genreid: ID of the book, corresponding to the query file
Data Splits
The dataset is comprised of two parts, WTB (WhatsThatBook), as well as TOMT (tip-of-my-tongue). WhatsThatBook contains standard train, dev, and test splits, and TOMT serves as an evaluation set.
Dataset Creation
Source Data
Additional Information
Dataset Curators
- Kevin Lin, UC Berkeley, k-lin@berkeley.edu
- Kyle Lo, Allen Institue For Artificial Intelligence, kylel@allenai.org
Citation Information
@article{lin2023decomposing,
title={Decomposing Complex Queries for Tip-of-the-tongue Retrieval},
author={Lin, Kevin and Lo, Kyle and Gonzalez, Joseph E and Klein, Dan},
journal={arXiv preprint arXiv:2305.15053},
year={2023}
}
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