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mldr.datasets

0.4.2Package record

R Ultimate Multilabel Dataset Repository

0packages dependsuggested by 1
25.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Large collection of multilabel datasets along with the functions needed to export them to several formats, to make partitions, and to obtain bibliographic information.

Install

Health

CRAN checks
13OK
Slowest check: 1.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-08
  • NOTE12 OK, 1 NOTE2026-06-07
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.4.2
READMEYes · 370 wordsVignettesNoNEWS· In the repository, left out of the releaseCitation fileNo
Help pages
79
Examples that run
3%2 run in a plain check · 77 never run
Exported functions with examples
100%
Documented parameters
91%
Return-value docs
15%
Help pages citing references
0%

Downloads

25.1K
CRAN downloads in the past year
Rank #2,702 · ~69/day · ~2.1K/mo
Daily download trend is not available in this view yet.
1.8K30 days
5.7K90 days
25.1K1 year
Compare downloads with other packages →
Also on123 r2u8 autocran

Repository

7Stars
1Forks
2Open issues
0Open PRs
3Releases
299Commits
2Commit identities
License file reads as LGPL-3.0 · 299 commits · Last activity 2019-03-12 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
0
Median days to close, 50 most recently updated closed PRs
2

Stars over time

2024-08-07 · 72026-07-07 · 7
PracticesBeta

5 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/fcharte/mldr.datasets on 2026-10-22.

Continuous integration (1)
Travis CI (config file)
Docs source (1)

GitHub Pages site last deployed 2023-03-07

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
Show all practicesHide 1 practice
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing mldr.datasets adds no packages beyond those that come with R.

Depends (1)
R >= 3.0.0
Imports (1)
utils
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (3)
Maintainer since 0.3.1 (2015)
Author · added in 0.4.2
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.4.2Latest
    record
    2019-01-17 · current release · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.4.0
    record
    2017-11-17 · diff ↗ ·
    added 11 exports
    available.mldrs, density, get.mldr, iterative.stratification.holdout, iterative.stratification.kfolds, iterative.stratification.partitions, random.holdout, random.partitions, sparsity, stratified.holdout, stratified.partitions
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 0.3.15
    record
    2016-01-16 · diff ↗
  • 0.3.1
    record
    2015-11-24
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2015-11-24
Total releases
4 / 11 yrs
License
LGPL (>= 3) | file LICENSE OSI
Minimum R
≥ 3.0.0
Bundled data
2.2 MB / 11 files
Download size
2.2 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mldr.datasets")
Charte, D., Charte, F., & Rivera, A. J. (2019). mldr.datasets: R Ultimate Multilabel Dataset Repository (Version 0.4.2) [Computer software]. https://doi.org/10.32614/CRAN.package.mldr.datasets

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mldr.datasets version 0.4.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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