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+ ---
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+ license: cc
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+ language:
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+ - en
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+
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+ # Dataset Card for 🥝 KIWI
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+
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+ ## Table of Contents
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+ - [Table of Contents](#table-of-contents)
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+ - [Contributions](#contributions)
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+
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+ ## Dataset Description
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+
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+ - **Paper:** [🥝KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions](https://www.cs.utexas.edu/~fxu/kiwi/kiwi_paper.pdf)
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+ - **Point of Contact:** fangyuan[at]utexas.edu
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+
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+ ### Dataset Summary
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+
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+ This dataset contains the question and document pairs annotated for 🥝KIWI.
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+
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+ ### Languages
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+
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+ The dataset contains data in English.
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ Each instance is an interaction section between a user and a model.
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+
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+ ### Data Fields
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+
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+ Each instance contains the following fields:
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+ * `question`: the input question *q*
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+ * `cited_papers`: The papers that are relevant to the question.
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+ * `cited_paragraphs`: The extracted paragraphs from the cited papers.
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+
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+ ## Dataset Creation
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+
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+ Please refer to our [paper](https://arxiv.org/pdf/2403.03866.pdf) for details on annotation process and discussion on limitations.
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+
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+ ## Additional Information
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+
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+ Please checkout [this dataset](https://huggingface.co/datasets/fangyuan/kiwi) for the interaction data collected.
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+
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+
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+ ### Licensing Information
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+
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+ https://creativecommons.org/licenses/by-sa/4.0/legalcode
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+
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+ ### Citation Information
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+ ```
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+ @article{xu2024kiwi,
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+ title = {KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions},
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+ author = {Xu, Fangyuan and Lo, Kyle and Kuehl, Bailey and Soldaini, Luca and Choi, Eunsol and Wadden, David},
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+ year = 2024,
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+ }
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+ ```