Abalone

Browse datasets

uci:abalone@1 · Registry 1.2.0. Default version in this registry.

Physical measurements of abalone distributed by the UCI Machine Learning Repository.

Dimensions and tasks

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.

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("uci:abalone@1", registry=registry)

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("uci:abalone@1", registry = registry)

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("uci:abalone@1"; registry=registry)

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 'uci:abalone@1'

Representation and variables

Tabular data with a dense representation. Decoder: delimited-text version 1.

Preprocessing

Preprocessing history is not recorded in this registry release.

Provenance and citation

Provider: UCI Machine Learning Repository. Upstream name: Abalone. Retrieved: 2026-09-06.

Original source

Authors: Warwick Nash, Tracy Sellers, Simon Talbot, Andrew Cawthorn, Wes Ford.

Nash, W., Sellers, T., Talbot, S., Cawthorn, A., and Ford, W. (1994). Abalone. UCI Machine Learning Repository. https://doi.org/10.24432/C55C7W.

License

CC-BY-4.0

License information

The UCI dataset page states that the dataset is licensed under CC BY 4.0.

Artifacts

Total download: 191.5 KiB. Sizes describe the distributed files, including any compression.

data: upstream

Versions in this registry

1 (default)

Registry record

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

Index SHA-256: 4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21.