{
    "schema": "lxkeys.world.entry@2.2.1",
    "language": "en",
    "entry": {
        "id": "ENT-00002958",
        "status": "published",
        "name": "IMDb Large Movie Review Dataset",
        "aliases": [],
        "entity_type": "Dataset",
        "classification": "Language / Training Dataset",
        "creator": "Stanford AI Lab",
        "organization": "Stanford AI Lab",
        "origin_context": "Language model evaluation and NLP data",
        "first_public_appearance": "2011",
        "current_status": "Active",
        "official_website": "https://ai.stanford.edu/~amaas/data/sentiment/",
        "image": "",
        "short_description": "IMDb Large Movie Review Dataset is a dataset associated with Stanford AI Lab, classified in LXKeys.world as Language / Training Dataset.",
        "public_description": "IMDb Large Movie Review Dataset is a documented language dataset or benchmark. It is recorded as movie review sentiment dataset, supporting evaluation or training for question answering, reasoning, dialogue, classification, translation or multilingual language understanding.",
        "technical_description": "Structured LXKeys.world registry record for IMDb Large Movie Review Dataset. Entity type: Dataset; classification: Language / Training Dataset; creator/organization context: Stanford AI Lab. Canonical source anchor: https://ai.stanford.edu/~amaas/data/sentiment/. 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.",
        "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."
        ],
        "timeline": [
            {
                "date": "2011",
                "title": "Initial dataset release",
                "description": "IMDb Large Movie Review Dataset entered the documented public record in 2011. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://ai.stanford.edu/~amaas/data/sentiment/",
                "verification_status": "source_backed_official"
            }
        ],
        "sources": [
            {
                "label": "Official or reference source",
                "url": "https://ai.stanford.edu/~amaas/data/sentiment/",
                "source_type": "Primary / Reference Source",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "relationships": [
            {
                "target": "Stanford AI Lab",
                "type": "Associated organization",
                "description": "Stanford AI Lab is the organization, project community or institutional context associated with IMDb Large Movie Review Dataset.",
                "evidence_level": "documentary"
            },
            {
                "target": "Language model evaluation and NLP data",
                "type": "Domain context",
                "description": "IMDb Large Movie Review Dataset belongs to the Language model evaluation and NLP data layer of the intelligent-entity registry.",
                "evidence_level": "documentary"
            }
        ],
        "tags": [
            "Dataset",
            "NLP",
            "Benchmark",
            "Language Understanding"
        ],
        "registry_status": "Documented",
        "created_at": "2026-06-17T01:48:33+00:00",
        "updated_at": "2026-09-08T04:55:00+00:00",
        "dypclt_created": "D-0 Y-2 P-3 C-3 L-22 T-4",
        "dypclt_updated": "D-0 Y-2 P-3 C-3 L-22 T-4",
        "temporal_index": {
            "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"
        },
        "machine_readable_purpose": "Machine-readable record for IMDb Large Movie Review Dataset: classification, source anchor, timeline, limitations, tags and relationship mapping for intelligent-entity discovery.",
        "schema_ready": true,
        "first_public_appearance_precision": "year",
        "first_public_appearance_verification": "preserved_from_source_record",
        "image_status": "missing_official_image_candidate",
        "reviewed_at": "2026-09-08T04:55:00+00:00",
        "quality_status": "curated_official_first_baseline",
        "source_policy": "official_first_secondary_context_only",
        "quality_review": {
            "reviewed_at": "2026-09-08T04:55:00+00:00",
            "official_sources": 1,
            "trusted_primary_sources": 0,
            "secondary_sources": 0,
            "date_status": "preserved_from_source_record",
            "image_status": "missing",
            "manual_followup_required": false,
            "review_scope": "official-first structural curation; records flagged for follow-up are not claimed as individually exhaustive fact-checks"
        },
        "dypclt_reviewed": "D-0 Y-2 P-4 C-4 L-33 T-6",
        "world_id": "ENT-00002958",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "documentation_status": "Documented",
        "facts": [],
        "canonical": [],
        "image_meta": [],
        "source_state": [],
        "i18n": {
            "en": [],
            "fr": []
        }
    },
    "computed": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "documentation_index": {
            "total": 82,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 19,
            "level": "Level V Persistent"
        },
        "is_lxkeys_entity": false,
        "graph_endpoint": "graph.php?center=ENT-00002958&depth=1"
    }
}