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The Human Evaluation Datasheet 1.0: A Template for Recording Details of Human Evaluation Experiments in NLP

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arxiv 2103.09710 v1 pith:EEBAPAD5 submitted 2021-03-17 cs.CL

Anastasia Shimorina , Anya Belz This is my paper · ORCID
classification cs.CL
keywords humanevaluationdatasheetrecordingdetailsexperimentssufficienttemplate
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This paper introduces the Human Evaluation Datasheet, a template for recording the details of individual human evaluation experiments in Natural Language Processing (NLP). Originally taking inspiration from seminal papers by Bender and Friedman (2018), Mitchell et al. (2019), and Gebru et al. (2020), the Human Evaluation Datasheet is intended to facilitate the recording of properties of human evaluations in sufficient detail, and with sufficient standardisation, to support comparability, meta-evaluation, and reproducibility tests.

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  1. HEDS 3.0: The Human Evaluation Data Sheet Version 3.0

    cs.HC 2024-12 conditional novelty 3.0 of 10

    HEDS 3.0 is a revised human-evaluation datasheet with a longer verbatim form, two new intra-annotator agreement questions, and a latex export tool for reproducibility reporting.

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