metadata
license: cc
language:
- en
size_categories:
- 1K<n<10K
Dataset Card for Long-form-sci-qa
Table of Contents
Dataset Description
- Paper: 🥝KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions
- Point of Contact: fangyuan[at]utexas.edu
Dataset Summary
This dataset contains the question and document pairs annotated for 🥝KIWI.
Languages
The dataset contains data in English.
Dataset Structure
Data Instances
Each instance is a question, paired with the related work paragraph for which the question is written and a set of relevant papers (cited in the related work paragraph).
Data Fields
Each instance contains the following fields:
question
: the input question qrelated_work_paragraph
: the related work paragraph that the annotator wrote the question for.cited_papers
: The list of papers that are relevant to the question.cited_paragraphs
: The list of extracted paragraphs from the cited papers.source_paper_corpusid
: The corpus ID of the source paper of the related work paragraph.
Dataset Creation
Please refer to our paper (Section 3.1) for details on annotation process and discussion on limitations.
Additional Information
Please checkout this dataset for the interaction data collected.
Licensing Information
https://creativecommons.org/licenses/by-sa/4.0/legalcode
Citation Information
@article{xu2024kiwi,
title = {KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions},
author = {Xu, Fangyuan and Lo, Kyle and Kuehl, Bailey and Soldaini, Luca and Choi, Eunsol and Wadden, David},
year = 2024,
}