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Establish a standardized process for documenting datasets to improve transparency, accountability, and communication between creators and consumers.

November 19, 2021Communications of the ACMOpen Access

Datasheets for datasets

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Establish a standardized process for documenting datasets to improve transparency, accountability, and communication between creators and consumers.
Proposes a question-driven documentation schema modeled on hardware datasheets covering dataset creation, composition, collection, and maintenance.
Provides structured accountability mechanisms to reveal dataset constraints, intended uses, and ethical considerations.
Improves downstream risk assessment by clarifying potential dataset biases and operational limits prior to deployment.

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Implication

Framework proposal introduces standardized documentation across machine learning datasets, suggesting improved transparency between creators and downstream users.

Abstract

Documentation to facilitate communication between dataset creators and consumers.

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Gebru et al. (2021) studied this question.

synapsesocial.com/papers/6a08cd8e60378a53cb66bd42 https://doi.org/10.1145/3458723

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Implication

Framework proposal introduces standardized documentation across machine learning datasets, suggesting improved transparency between creators and downstream users.

Abstract

Documentation to facilitate communication between dataset creators and consumers.

Datasheets for datasets

Key Points

No abstract yet

Implication

Abstract

Discussion

Cite This Study

Datasheets for datasets

Key Points

No abstract yet

Implication

Abstract

Discussion

Cite This Study

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