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bench: refactor to use string interpolation in datasets#11618

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Apr 19, 2026
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bench: refactor to use string interpolation in datasets#11618
Planeshifter merged 1 commit intostdlib-js:developfrom
anandkaranubc:bench/datasets-format

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@anandkaranubc anandkaranubc commented Apr 19, 2026

Progresses #8647
Resolves stdlib-js/metr-issue-tracker#459

Description

What is the purpose of this pull request?

This pull request:

  • refactors to use string interpolation in @stdlib/datasets

Related Issues

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This pull request has the following related issues:

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Disclosure

Used a Cursor driven Skill+Workflow to achieve this migration with manual and automated sanity checks.

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bench: refactor to use string interpolation in @stdlib/datasets
f5f4809 
---
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@anandkaranubc anandkaranubc added difficulty: 1 Low degree of difficulty. Should be straightforward to implement and/or resolve. Benchmarks Pull requests adding or improving benchmarks for measuring performance. METR Pull request associated with the METR project. labels Apr 19, 2026
@anandkaranubc anandkaranubc requested a review from a team April 19, 2026 17:50
@stdlib-bot stdlib-bot added Needs Review A pull request which needs code review. Good First PR A pull request resolving a Good First Issue. labels Apr 19, 2026
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Hello! 👋

We've noticed that you've been opening a number of PRs addressing good first issues. Thank you for your interest and enthusiasm!

Now that you've made a few contributions, we suggest no longer working on good first issues. Instead, we encourage you to prioritize cleaning up any PRs which have yet to be merged and then proceed to work on more involved tasks.

Not only does this ensure that other new contributors can work on things and get ramped up on all things stdlib, it also ensures that you can spend your time on more challenging problems. 🚀

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Coverage Report

Package Statements Branches Functions Lines
datasets/afinn-111 $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/afinn-96 $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/anscombes-quartet $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/berndt-cps-wages-1985 $\color{green}147/147$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}147/147$
$\color{green}+100.00%$
datasets/cdc-nchs-us-births-1969-1988 $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/cdc-nchs-us-births-1994-2003 $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/cdc-nchs-us-infant-mortality-bw-1915-2013 $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/cmudict $\color{green}333/333$
$\color{green}+100.00%$ 		$\color{green}34/34$
$\color{green}+100.00%$ 		$\color{green}3/3$
$\color{green}+100.00%$ 		$\color{green}333/333$
$\color{green}+100.00%$
datasets/dale-chall-new $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/emoji-code-picto $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/emoji-picto-code $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/emoji $\color{green}147/147$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}147/147$
$\color{green}+100.00%$
datasets/female-first-names-en $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/fivethirtyeight-ffq $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/frb-sf-wage-rigidity $\color{green}147/147$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}147/147$
$\color{green}+100.00%$
datasets/harrison-boston-house-prices-corrected $\color{green}147/147$
$\color{green}+100.00%$ 		$\color{green}7/7$
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datasets/harrison-boston-house-prices $\color{green}147/147$
$\color{green}+100.00%$ 		$\color{green}7/7$
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$\color{green}+100.00%$ 		$\color{green}147/147$
$\color{green}+100.00%$
datasets/herndon-venus-semidiameters $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/img-acanthus-mollis $\color{green}170/170$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}170/170$
$\color{green}+100.00%$
datasets/img-airplane-from-above $\color{green}170/170$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}170/170$
$\color{green}+100.00%$
datasets/img-allium-oreophilum $\color{green}170/170$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}170/170$
$\color{green}+100.00%$
datasets/img-black-canyon $\color{green}170/170$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}170/170$
$\color{green}+100.00%$
datasets/img-dust-bowl-home $\color{green}170/170$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}170/170$
$\color{green}+100.00%$
datasets/img-french-alpine-landscape $\color{green}169/169$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}169/169$
$\color{green}+100.00%$
datasets/img-locomotion-house-cat $\color{green}169/169$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}169/169$
$\color{green}+100.00%$
datasets/img-locomotion-nude-male $\color{green}169/169$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}169/169$
$\color{green}+100.00%$
datasets/img-march-pastoral $\color{green}169/169$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}169/169$
$\color{green}+100.00%$
datasets/img-nagasaki-boats $\color{green}172/172$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}172/172$
$\color{green}+100.00%$
datasets/liu-negative-opinion-words-en $\color{green}145/145$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}145/145$
$\color{green}+100.00%$
datasets/liu-positive-opinion-words-en $\color{green}145/145$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}145/145$
$\color{green}+100.00%$
datasets/male-first-names-en $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/minard-napoleons-march $\color{green}346/346$
$\color{green}+100.00%$ 		$\color{green}34/34$
$\color{green}+100.00%$ 		$\color{green}3/3$
$\color{green}+100.00%$ 		$\color{green}346/346$
$\color{green}+100.00%$
datasets/moby-dick $\color{green}327/327$
$\color{green}+100.00%$ 		$\color{green}10/10$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}327/327$
$\color{green}+100.00%$
datasets/month-names-en $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/nightingales-rose $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/pace-boston-house-prices $\color{green}147/147$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}147/147$
$\color{green}+100.00%$
datasets/primes-100k $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/savoy-stopwords-fin $\color{green}145/145$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}145/145$
$\color{green}+100.00%$
datasets/savoy-stopwords-fr $\color{green}145/145$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}145/145$
$\color{green}+100.00%$
datasets/savoy-stopwords-ger $\color{green}145/145$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}145/145$
$\color{green}+100.00%$
datasets/savoy-stopwords-it $\color{green}145/145$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}145/145$
$\color{green}+100.00%$
datasets/savoy-stopwords-por $\color{green}145/145$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}145/145$
$\color{green}+100.00%$
datasets/savoy-stopwords-sp $\color{green}145/145$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}145/145$
$\color{green}+100.00%$
datasets/savoy-stopwords-swe $\color{green}145/145$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}145/145$
$\color{green}+100.00%$
datasets/sotu $\color{green}1725/1725$
$\color{green}+100.00%$ 		$\color{green}106/106$
$\color{green}+100.00%$ 		$\color{green}11/11$
$\color{green}+100.00%$ 		$\color{green}1725/1725$
$\color{green}+100.00%$
datasets/spache-revised $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/spam-assassin $\color{green}6233/6233$
$\color{green}+100.00%$ 		$\color{green}10/10$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}6233/6233$
$\color{green}+100.00%$
datasets/ssa-us-births-2000-2014 $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/standard-card-deck $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/stopwords-en $\color{green}145/145$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}145/145$
$\color{green}+100.00%$
datasets/suthaharan-multi-hop-sensor-network $\color{green}147/147$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}147/147$
$\color{green}+100.00%$
datasets/suthaharan-single-hop-sensor-network $\color{green}147/147$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}147/147$
$\color{green}+100.00%$
datasets/us-states-abbr $\color{green}147/147$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}147/147$
$\color{green}+100.00%$
datasets/us-states-capitals-names $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/us-states-capitals $\color{green}147/147$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}147/147$
$\color{green}+100.00%$
datasets/us-states-names-capitals $\color{green}146/146$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}146/146$
$\color{green}+100.00%$
datasets/us-states-names $\color{green}147/147$
$\color{green}+100.00%$ 		$\color{green}7/7$
$\color{green}+100.00%$ 		$\color{green}2/2$
$\color{green}+100.00%$ 		$\color{green}147/147$
$\color{green}+100.00%$

The above coverage report was generated for the changes in this PR.

@Planeshifter Planeshifter changed the title bench: refactor to use string interpolation in @stdlib/datasets bench: refactor to use string interpolation in datasets Apr 19, 2026
@Planeshifter Planeshifter added the Ready To Merge A pull request which is ready to be merged. label Apr 19, 2026
@stdlib-bot stdlib-bot removed the Needs Review A pull request which needs code review. label Apr 19, 2026
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PR Commit Message

bench: refactor to use string interpolation in `datasets`

PR-URL: https://github.com/stdlib-js/stdlib/pull/11618
Ref: https://github.com/stdlib-js/stdlib/issues/8647

Reviewed-by: Philipp Burckhardt <pburckhardt@outlook.com>

Please review the above commit message and make any necessary adjustments.

⚠️ Action Required: This PR references tracking issues. Please update the PR description to replace any "Closes", "Fixes", or "Resolves" keywords with "Ref" when referencing these issues.

@Planeshifter Planeshifter merged commit a297305 into stdlib-js:develop Apr 19, 2026
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@stdlib-bot stdlib-bot removed the Ready To Merge A pull request which is ready to be merged. label Apr 19, 2026
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Benchmarks Pull requests adding or improving benchmarks for measuring performance. difficulty: 1 Low degree of difficulty. Should be straightforward to implement and/or resolve. Good First PR A pull request resolving a Good First Issue. METR Pull request associated with the METR project.

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[RFC]: use string interpolation in JavaScript benchmarks for @stdlib/datasets

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