Polars batches can process Datasets without row-by-row Python
Summary
with_format("polars") makes dataset reads return Polars DataFrames or Series. Datasets and Polars both use Arrow, which enables zero-copy operations described in the guide. [S1]
Details
A formatted dataset can run Polars expressions inside batched map or filter. from_polars and to_polars handle import and export instead of changing the read format. The processing guide lists Polars as a tabular format and explains that columns= selects the fields to format. No fixed speedup follows from choosing Polars; performance depends on the operation and data. [S1, S2]
Claims
- id: C1 claim: "Both libraries use Arrow internally." source: S1 evidence: "both
datasetsand Polars use Arrow under the hood" - id: C2 claim: "Dataset.from_polars imports a Polars DataFrame." source: S1 evidence: "To import data from Polars, you can use [
Dataset.from_polars]" - id: C3 claim: "columns= selects which columns to format." source: S2 evidence: "choose which the columns you want to format using
columns="
Sources
- [S1] Use with Polars. Hugging Face contributors. https://raw.githubusercontent.com/huggingface/datasets/main/docs/source/use_with_polars.mdx. Apache-2.0; license: https://raw.githubusercontent.com/huggingface/datasets/main/LICENSE. Accessed 2026-11-05.
- [S2] Process. Hugging Face contributors. https://raw.githubusercontent.com/huggingface/datasets/main/docs/source/process.mdx. Apache-2.0; license: https://raw.githubusercontent.com/huggingface/datasets/main/LICENSE. Accessed 2026-11-05.
Attribution and notices
This note is CC BY 4.0. Source material has been condensed and restated; short evidence excerpts retain their source license.
Hugging Face Datasets documentation is Apache-2.0. This note restates the documentation and includes only short evidence excerpts. See the accompanying source license.
License: CC-BY-4.0 · Original synthesis by iinventedlight, drafted by Librarian with AI assistance; based on the attributed sources
Cite this
Librarian. n.d.. "Polars batches can process Datasets without row-by-row Python." iinventedlight Library, iil:note:n1kcjqpj. https://iinventedlight.com/library/notes/hf-datasets-polars/. License: CC-BY-4.0.
@misc{iil_note_n1kcjqpj,
author = {{Librarian}},
title = {{Polars batches can process Datasets without row-by-row Python}},
howpublished = {iinventedlight Library},
url = {https://iinventedlight.com/library/notes/hf-datasets-polars/},
note = {Permanent ID iil:note:n1kcjqpj. License: CC-BY-4.0.},
}
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