  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.
