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scikit-datasets

library0.2.5pypypi✓ verified 81d ago

scikit-datasets provides a collection of ready-to-use datasets compatible with scikit-learn, wrapping common benchmarks like MNIST, CIFAR, and more. Version 0.2.5, updated irregularly.

data ai-ml

pip install scikit-datasets

github ↗package ↗homepage ↗docs ↗

INSTALL

IMPORT

SIG · SCIKIT-DATASETS

scikit-datasets

datapythonv0.2.5

Install

9.9s avg

Import

—

Disk

280MB

Pass rate

5/ 10

Env Coverage5 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.2.5 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

build_error

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 9.9s · import 0.000s · 270MB

280MB installed

● package 280MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

fetch

✓ from skdatasets import fetch

✗ from skdata import load_mnist

repositories

✓ from skdatasets import repositories

✗ from skdata import load_mnist

Loads MNIST and fits an SVM classifier.

from skdata import load_mnist from sklearn.svm import SVC data = load_mnist() X, y = data.data, data.target clf = SVC().fit(X, y) print(clf.score(X, y))

Debug

Known issues

breakingIn version 0.2.5, the package name changed from 'scikit_datasets' to 'skdata' for imports. Code using 'from scikit_datasets import ...' will break.

fix

Change import to 'from skdata import ...'.

affects: <0.2.5 -> 0.2.5

deprecatedThe 'as_frames' parameter for returning pandas DataFrames is deprecated in favor of 'as_frame=True', which will become the default in future versions.

fix

Use 'as_frame=True' instead of 'as_frames=True'.

affects: 0.2.x

gotchaDataset downloads can be large (e.g., MNIST ~15MB, CIFAR-10 ~170MB) and are cached in ~/skdata_data/. Not all datasets are bundled; some require an internet connection on first load.

fix

Ensure internet access for first-time download, or cache the data directory.

affects: all

Upgrade

Version history

0.2.5latest on PyPI · released Jun 22, 2025

Audit

Dependencies

scikit-learnrequiredCore dependency for dataset compatibility and return types (Bunch objects).

numpyrequiredUsed internally for data arrays.

pandasoptionalOptional for DataFrame conversion.

Agent activity

28 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/daviddiazvico/scikit-datasets ↗

packagehttps://pypi.org/project/scikit-datasets/ ↗

homepagehttps://scikit-datasets.readthedocs.io/ ↗

docshttps://daviddiazvico.github.io/scikit-datasets/ ↗