MT-Adapted Datasheets for Datasets: Template and Repository
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Abstract (arXiv)
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
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 May 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1.
2 papers.
- 2021SoK: Machine Learning Governancecited by 10
- 2023Machine Translation for Nko: Tools, Corpora and Baseline Resultscited by 2
- 2023Machine Translation for Nko: Tools, Corpora and Baseline Results24 Oct 2023
- 2021SoK: Machine Learning Governance20 Sep 2021