ENT-00001156 · Dataset

HH-RLHF

HH-RLHF is a helpful and harmless rlhf dataset associated with Anthropic.

Level IV — ConnectedActiveStructured

Human readable record

Overview

HH-RLHF is a documented helpful and harmless rlhf dataset used in artificial-intelligence research, evaluation or dataset construction. Its record captures the task context, public source, evaluation role and relationships to models, agents or research systems that rely on comparable measurements.

Timeline

2022HH-RLHF public release or documentation
HH-RLHF appears in public documentation as a helpful and harmless rlhf dataset associated with Anthropic.

Capabilities

Evaluation referenceComparable measurementResearch reproducibilityModel documentation support

Known limitations

Benchmark interpretation depends on task design, data quality and contamination controls.Scores should not be treated as a complete measure of intelligence.

Technical and registry detail

Technical description

Structured reference record for HH-RLHF. The technical layer captures source URL, creator, first-public year, evaluation or dataset role, measurable task family and relationships to model testing, retrieval, safety, coding, reasoning or multimodal assessment.

Controlled tags

DatasetEvaluationDocumentationContemporaryBatch 03 Candidate

Relationship graph

HH-RLHF

Created or maintained byAnthropic

HH-RLHF is associated with Anthropic.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

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    "identifier": "ENT-00001156",
    "name": "HH-RLHF",
    "alternateName": [],
    "additionalType": "Dataset",
    "description": "HH-RLHF is a helpful and harmless rlhf dataset associated with Anthropic.",
    "creator": "Anthropic",
    "url": "entity.php?id=ENT-00001156",
    "sameAs": "https://huggingface.co/datasets/Anthropic/hh-rlhf",
    "lxkeysWorld": {
        "classification": "Helpful and harmless RLHF dataset",
        "organization": "Anthropic",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2022",
        "currentStatus": "Active",
        "registryStatus": "Structured",
        "spatiumIndex": {
            "total": 74,
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            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Evaluation reference",
            "Comparable measurement",
            "Research reproducibility",
            "Model documentation support"
        ],
        "limitations": [
            "Benchmark interpretation depends on task design, data quality and contamination controls.",
            "Scores should not be treated as a complete measure of intelligence."
        ],
        "tags": [
            "Dataset",
            "Evaluation",
            "Documentation",
            "Contemporary",
            "Batch 03 Candidate"
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        "relationships": [
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        ],
        "sources": [
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            }
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    }
}

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