UA
ENT-00002684 · Dataset

UCI Adult Dataset

UCI Adult Dataset is a dataset associated with UCI Machine Learning Repository, classified in LXKeys.world as AI Dataset.

Level V PersistentActiveDocumented
Human record

Overview

UCI Adult Dataset is a documented dataset from the UCI Machine Learning Repository. It is used for experiments, benchmarking or teaching in machine learning and is recorded as census income classification dataset.

Timeline

  1. 1996Initial dataset release

    UCI Adult Dataset entered the documented public record in 1996. This event is retained at the precision supported by the Entry’s reviewed source history.

Capabilities

Dataset referenceBenchmark or training-data contextTask-level documentationModel evaluation supportSource-based traceability

Known limitations

Dataset coverage, licensing, annotation quality and benchmark relevance depend on the source version and use context.Performance claims should be assessed through models evaluated on the dataset rather than inferred from the dataset alone.
Technical and structured detail

Technical description

Structured LXKeys.world registry record for UCI Adult Dataset. Entity type: Dataset; classification: AI Dataset; creator/organization context: UCI Machine Learning Repository. Canonical source anchor: https://archive.ics.uci.edu/dataset/2/adult. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Controlled tags

DatasetMachine LearningBenchmarkUCI
Relationship graph

UCI Adult Dataset

Open in full graph
UCI Adult Dataset
Associated organizationOutgoing
UCI Machine Learning Repository

UCI Machine Learning Repository is the organization, project community or institutional context associated with UCI Adult Dataset.

Domain contextOutgoing
Dataset and benchmark infrastructure

UCI Adult Dataset belongs to the Dataset and benchmark infrastructure layer of the intelligent-entity registry.

Machine readable layer

Structured entry data for human tools, AI systems and machine clients.

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    "@type": "Thing",
    "identifier": "ENT-00002684",
    "name": "UCI Adult Dataset",
    "alternateName": [],
    "additionalType": {
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        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "UCI Adult Dataset is a dataset associated with UCI Machine Learning Repository, classified in LXKeys.world as AI Dataset.",
    "creator": "UCI Machine Learning Repository",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002684&lang=en",
    "sameAs": "https://archive.ics.uci.edu/dataset/2/adult",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002684",
        "kind": "Data and Evaluation",
        "type": "Dataset",
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        "classification": "AI Dataset",
        "organization": "UCI Machine Learning Repository",
        "originContext": "Dataset and benchmark infrastructure",
        "firstPublicAppearance": "1996",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 82,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 19,
            "level": "Level V Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:48:33+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:48:33+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "facts": [],
        "capabilities": [
            "Dataset reference",
            "Benchmark or training-data context",
            "Task-level documentation",
            "Model evaluation support",
            "Source-based traceability"
        ],
        "limitations": [
            "Dataset coverage, licensing, annotation quality and benchmark relevance depend on the source version and use context.",
            "Performance claims should be assessed through models evaluated on the dataset rather than inferred from the dataset alone."
        ],
        "tags": [
            "Dataset",
            "Machine Learning",
            "Benchmark",
            "UCI"
        ],
        "timeline": [
            {
                "date": "1996",
                "title": "Initial dataset release",
                "description": "UCI Adult Dataset entered the documented public record in 1996. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://archive.ics.uci.edu/dataset/2/adult",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "UCI Machine Learning Repository",
                "type": "Associated organization",
                "description": "UCI Machine Learning Repository is the organization, project community or institutional context associated with UCI Adult Dataset.",
                "evidence_level": "documentary"
            },
            {
                "target": "Dataset and benchmark infrastructure",
                "type": "Domain context",
                "description": "UCI Adult Dataset belongs to the Dataset and benchmark infrastructure layer of the intelligent-entity registry.",
                "evidence_level": "documentary"
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        ],
        "sources": [
            {
                "label": "UCI Machine Learning Repository page",
                "url": "https://archive.ics.uci.edu/dataset/2/adult",
                "source_type": "Primary / Reference Source",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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