Upload viral_muse_dataset_card.md
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datasets./viral_muse_dataset_card.md
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---
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dataset_name: viral-muse-vectorized-kg
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pretty_name: Viral Muse Vectorized Knowledge Graph
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version: v1.0.0
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created_at_utc: 2025-12-13
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license: CC-BY-4.0
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tags:
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- knowledge-graph
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- master-grid
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- synthetic-data
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- retrieval
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- agentic
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- content-patterns
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task_categories:
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- text-retrieval
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- text-generation
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languages:
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- en
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---
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# Viral Muse Vectorized Knowledge Graph (KG)
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This dataset is a **synthetic, structured Master Grid** built for retrieval + linking workflows.
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It contains:
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- **Atoms** (nodes): normalized semantic units derived from source rows
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- **Edges** (relations): deterministic internal links, platform-alignment links, and rule-based semantic links
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- **Knowledge Map**: dataset registry (schemas, atomization strategy, enabled rules)
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## Files
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- `viral_muse_atoms_master_v1.csv`
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- `viral_muse_edges_master_v1.csv`
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- `viral_muse_knowledge_map_v1.csv`
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- `viral_muse_kg_manifest_v1.json`
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## What’s inside
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### Atom counts
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{
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"creative_partner_advice_map": 406,
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"genre_transformation_rules": 169,
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"lyric_structure_map": 300,
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"tiktok_concept_patterns": 299,
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"viral_pattern_signals": 308,
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"viral_potential_rated": 616
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}
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Total atoms: **2098**
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### Edge counts by relation type
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{
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"guided_by": 203,
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"has_bundle": 308,
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"platform_aligned": 7440,
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"platform_multi_aligned": 260,
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"semantic_related": 857
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}
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Total edges: **9068**
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## Schema
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### atoms_master columns
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atom_id, source_dataset_id, source_row_id, atom_category, primary_label, secondary_labels, attributes, tags, provenance, confidence, status, notes
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### edges_master columns
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edge_id, from_atom_id, to_atom_id, relation_type, relation_subtype, weight, confidence, source_rule_ids, notes
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## Intended use
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Use this KG to:
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- retrieve “best matching” patterns (atoms) for a given request
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- follow relationships to adjacent patterns (edges) for expansion
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- power ranking, recommendation, and structured reasoning inside agent pipelines
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## Recommended ingestion pattern
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1) **Vector DB**: upsert **atoms** as documents
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- Vector ID recommendation: `viral_muse:<source_dataset_id>:<atom_id>`
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- Attach metadata: `source_dataset_id`, `source_row_id`, `atom_category`, `confidence`, `status`, `version`
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2) **Graph layer**: ingest **edges** into a graph store (or adjacency index)
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- Use `edge_id` as primary key
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- Validate that `from_atom_id` and `to_atom_id` exist in atoms
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## Data origin & safety
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- **Synthetic**: not collected from real users
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- **No personal data**
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- **Non-operational**: patterns are for creative/retrieval workflows
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## Limitations
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- CPA semantic connectivity is intentionally conservative (low shared vocabulary)
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- Genre transformation rules (GTR) are present as atoms but have minimal linking in v1 (to be expanded with transformation-specific rules)
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## Citation / attribution
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If you use this dataset publicly, attribute:
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**Agentarium / Viral Muse (synthetic)** (CC-BY-4.0)
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