DNA Scale

libsvm:dna_scale@1 · Registry 1.2.0. Default version in this registry.

Scaled Statlog DNA multiclass classification data with predefined training and test artifacts, distributed through the LIBSVM dataset collection.

Dimensions and tasks

Task	Type	Split	Samples	Predictors
default	classification	test	1,186	180
default	classification	train	2,000	180

Predictor counts follow each task's feature selection and exclude targets and identifiers. Sample counts are reported separately for each split.

Retrieve

These examples pin both the dataset version and the registry's exact index. An uncached dataset requires network access to its source. The CLI retrieves verified artifacts. The language clients also decode them.

Python

from datamonger import Registry, fetch_data

registry = Registry(
    release="1.2.0",
    index_sha256="4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21",
    index_url="https://github.com/jolars/datamonger/releases/download/registry-v1.2.0/index.json",
)
data = fetch_data("libsvm:dna_scale@1", registry=registry)

R

library(datamonger)

registry <- registry_selector(
  release = "1.2.0",
  index_sha256 = "4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21",
  index_url = "https://github.com/jolars/datamonger/releases/download/registry-v1.2.0/index.json"
)
data <- fetch_data("libsvm:dna_scale@1", registry = registry)

Julia

using Datamonger

registry = registry_selector(
    "1.2.0",
    "4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21",
    "https://github.com/jolars/datamonger/releases/download/registry-v1.2.0/index.json",
)
data = fetch_data("libsvm:dna_scale@1"; registry=registry)

CLI

cat > datamonger-registry.json <<'JSON'
{
  "index_sha256": "4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21",
  "index_url": "https://github.com/jolars/datamonger/releases/download/registry-v1.2.0/index.json",
  "release": "1.2.0",
  "schema_version": 1
}
JSON
datamonger --selector datamonger-registry.json fetch 'libsvm:dna_scale@1'

Representation and variables

Tabular data with a sparse representation. Decoder: libsvm-split version 1.

Component	Kind	Type	Shape
train_features	sparse_matrix	float64	2,000 × 180
train_response	vector	int64	2,000
test_features	sparse_matrix	float64	1,186 × 180
test_response	vector	int64	1,186

Preprocessing

Preprocessing history is not recorded in this registry release.

Provenance and citation

Provider: LIBSVM. Upstream name: dna.scale. Retrieved: 2026-09-06.

Original source

License

Unknown

The LIBSVM dataset page identifies the source and preprocessing but provides no license terms for the distributed artifacts.

Artifacts

Total download: 774.4 KiB. Sizes describe the distributed files, including any compression.

Artifact	Format	Compression	Size	Distribution	Preservation
train	libsvm	none	487.5 KiB	upstream-only	unknown
test	libsvm	none	286.9 KiB	upstream-only	unknown

train: upstream

test: upstream

Versions in this registry

1 (default)

Registry record

Download the complete registry record, registry selector, or full registry index.

Index SHA-256: 4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21.