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Main Authors: Arnett, Catherine, Chang, Tyler A., Bergen, Benjamin K.
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2403.00686
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author Arnett, Catherine
Chang, Tyler A.
Bergen, Benjamin K.
author_facet Arnett, Catherine
Chang, Tyler A.
Bergen, Benjamin K.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2403_00686
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Bit of a Problem: Measurement Disparities in Dataset Sizes Across Languages
Arnett, Catherine
Chang, Tyler A.
Bergen, Benjamin K.
Computation and Language
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.
title A Bit of a Problem: Measurement Disparities in Dataset Sizes Across Languages
topic Computation and Language
url https://arxiv.org/abs/2403.00686