MT-Adapted Datasheets for Datasets: Template and Repository

Abstract

In this report we are taking the standardized model proposed by Gebru et al. (2018) for documenting the popular machine translation datasets of the EuroParl (Koehn, 2005) and News-Commentary (Barrault et al., 2019). Within this documentation process, we have adapted the original datasheet to the particular case of data consumers within the Machine Translation area. We are also proposing a repository for collecting the adapted datasheets in this research area

References in corpus (3)

• Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them
• Getting Gender Right in Neural Machine Translation
• Mitigating Gender Bias in Natural Language Processing: Literature Review

Cited by in corpus (6)

• The Pile: An 800GB Dataset of Diverse Text for Language Modeling
• Augmented Datasheets for Speech Datasets and Ethical Decision-Making
• A domain-specific language for describing machine learning datasets
• Pitfalls in Machine Learning Research: Reexamining the Development Cycle
• SoK: Machine Learning Governance
• Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges