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arXiv · 2403.00686

A Bit of a Problem: Measurement Disparities in Dataset Sizes Across Languages

Catherine Arnett·Tyler A. Chang·Benjamin K. Bergen
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Abstract

How should text dataset sizes be compared across languages? Even for content-matched (parallel) corpora, UTF-8 encoded text can require a dramatically different number of bytes for different languages. In our work, we define the byte premium between two languages as the ratio of bytes used to encode content-matched text in those languages. We compute byte premiums for 1155 languages, and we use linear regressions to estimate byte premiums for other languages. We release a tool to obtain byte premiums for any two languages, enabling comparisons of dataset sizes across languages for more equitable multilingual model development and data practices.

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Catherine Arnett, Tyler A. Chang, Benjamin K. Bergen. 2024-03-01. A Bit of a Problem: Measurement Disparities in Dataset Sizes Across Languages. https://arxiv.org/abs/2403.00686

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