{
    "schema": "lxkeys.world.entry@2.2.1",
    "language": "en",
    "entry": {
        "id": "ENT-00002964",
        "status": "published",
        "name": "EmpatheticDialogues",
        "aliases": [],
        "entity_type": "Dataset",
        "classification": "Language / Training Dataset",
        "creator": "Meta AI",
        "organization": "Meta AI",
        "origin_context": "Language model evaluation and NLP data",
        "first_public_appearance": "2019",
        "current_status": "Active",
        "official_website": "https://github.com/facebookresearch/EmpatheticDialogues",
        "image": "",
        "short_description": "EmpatheticDialogues is a dataset associated with Meta AI, classified in LXKeys.world as Language / Training Dataset.",
        "public_description": "EmpatheticDialogues is a documented language dataset or benchmark. It is recorded as empathetic conversation dataset, supporting evaluation or training for question answering, reasoning, dialogue, classification, translation or multilingual language understanding.",
        "technical_description": "Structured LXKeys.world registry record for EmpatheticDialogues. Entity type: Dataset; classification: Language / Training Dataset; creator/organization context: Meta AI. Canonical source anchor: https://github.com/facebookresearch/EmpatheticDialogues. 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": "2019",
                "title": "Initial dataset release",
                "description": "EmpatheticDialogues entered the documented public record in 2019. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/facebookresearch/EmpatheticDialogues",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "sources": [
            {
                "label": "Official or reference source",
                "url": "https://github.com/facebookresearch/EmpatheticDialogues",
                "source_type": "Primary / Reference Source",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "relationships": [
            {
                "target": "Meta AI",
                "type": "Associated organization",
                "description": "Meta AI is the organization, project community or institutional context associated with EmpatheticDialogues.",
                "evidence_level": "documentary",
                "target_id": "ENT-00000033"
            },
            {
                "target": "Language model evaluation and NLP data",
                "type": "Domain context",
                "description": "EmpatheticDialogues 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 EmpatheticDialogues: 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": 0,
            "trusted_primary_sources": 1,
            "secondary_sources": 0,
            "date_status": "preserved_from_source_record",
            "image_status": "missing",
            "manual_followup_required": true,
            "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-00002964",
        "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-00002964&depth=1"
    }
}