FineFreq: A Multilingual Character Frequency Dataset from Web-Scale Text

Fuente: arXiv
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Autore principale: Xu, Binbin
Natura: Preprint
Pubblicazione: 2025
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author Xu, Binbin
author_facet Xu, Binbin
contents We present FineFreq, a large-scale multilingual character frequency dataset derived from the FineWeb and FineWeb2 corpora, covering over 1900 languages and spanning 2013-2025. The dataset contains frequency counts for 96 trillion characters processed from 57 TB of compressed text. For each language, FineFreq provides per-character statistics with aggregate and year-level frequencies, allowing fine-grained temporal analysis. The dataset preserves naturally occurring multilingual features such as cross-script borrowings, emoji, and acronyms without applying artificial filtering. Each character entry includes Unicode metadata (category, script, block), enabling domain-specific or other downstream filtering and analysis. The full dataset is released in both CSV and Parquet formats, with associated metadata, available on GitHub and HuggingFace. https://github.com/Bin-2/FineFreq
format Preprint
id arxiv_https___arxiv_org_abs_2512_09701
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle FineFreq: A Multilingual Character Frequency Dataset from Web-Scale Text
Xu, Binbin
Computation and Language
We present FineFreq, a large-scale multilingual character frequency dataset derived from the FineWeb and FineWeb2 corpora, covering over 1900 languages and spanning 2013-2025. The dataset contains frequency counts for 96 trillion characters processed from 57 TB of compressed text. For each language, FineFreq provides per-character statistics with aggregate and year-level frequencies, allowing fine-grained temporal analysis. The dataset preserves naturally occurring multilingual features such as cross-script borrowings, emoji, and acronyms without applying artificial filtering. Each character entry includes Unicode metadata (category, script, block), enabling domain-specific or other downstream filtering and analysis. The full dataset is released in both CSV and Parquet formats, with associated metadata, available on GitHub and HuggingFace. https://github.com/Bin-2/FineFreq
title FineFreq: A Multilingual Character Frequency Dataset from Web-Scale Text
topic Computation and Language
url https://arxiv.org/abs/2512.09701