Datasets:

Modalities:
Text
Formats:
json
Languages:
English
Size:
< 1K
ArXiv:
Libraries:
Datasets
pandas
License:
longform_sciqa / README.md
fangyuan's picture
Update README.md
a06405f verified
metadata
license: cc
language:
  - en
size_categories:
  - 1K<n<10K

Dataset Card for Long-form-sci-qa

Table of Contents

Dataset Description

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 q
  • related_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,
}