Update: +13 linked dossiers, 123 garbage archived, 26381 nodes, 248558 connections (Feb 20, 2026)

.gitattributes

@@ -61,3 +61,8 @@ investigative_collective.db filter=lfs diff=lfs merge=lfs -text
 databases/investigative_collective.db filter=lfs diff=lfs merge=lfs -text
 databases/apokalypsis.db filter=lfs diff=lfs merge=lfs -text
 databases/investigative_collective_enriched.db filter=lfs diff=lfs merge=lfs -text
+connections.json filter=lfs diff=lfs merge=lfs -text
+connections.jsonl filter=lfs diff=lfs merge=lfs -text
+investigative_collective.db.backup filter=lfs diff=lfs merge=lfs -text
+investigative_collective.db.pre_standardize filter=lfs diff=lfs merge=lfs -text
+nodes.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,192 +1,87 @@
-# Epstein Investigation Database
-
-**Comprehensive investigation database tracking 1,058 individuals connected to Epstein trafficking network and related cases.**
-
-## Dataset Description
-
-This database contains complete investigative dossiers for 1,058 people including:
-- 734 primary investigation targets
-- 324 family members and associates
-
-### What's Included
-
-**For each person:**
-- Biographical data (birth date, place, nationality, education)
-- Family connections (parents, spouses, children with birth dates)
-- Network connections (who they're connected to and how)
-- Epstein document mentions (page citations from 3,910+ pages of court documents)
-- Aircraft and yacht ownership (tail numbers, vessel names)
-- Financial intelligence (net worth, corporate entities, banking relationships)
-- Astrological profiles and numerology
-- Complete investigation logs with sources
-
-### Epstein Court Documents Analysis
-
-**Court Documents Analyzed:** 3,910+ pages from DOJ Epstein Files
-
-**People with Epstein mentions:** 1,601
-
-**Example:** Donald Trump - mentioned 30 times in court documents with full context and page citations
-
-## Database Schema
-
-**SQLite database** (`investigative_collective.db`) with 60+ columns including:
-
-**Core Fields:**
-- `full_name`, `last_name`, `first_name`, `middle_name`
-- `birth_date`, `birth_time`, `place_of_birth`
-- `nationality`, `education`, `greek_life`
-
-**Family (Structured JSON):**
-- `parents_json` - Array of parent objects with names, birth dates, confidence scores
-- `spouses_json` - Marriage history with dates
-- `children_json` - Complete family tree
-- `siblings_json` - Sibling relationships
-
-**Affiliations:**
-- `clubs_social_elite` - Mar-a-Lago, country clubs, etc.
-- `charities_foundations` - Foundations (many dissolved under investigation)
-- `secret_societies` - Documented memberships
-- `corporate_boards` - Business affiliations
-
-**Network Intelligence:**
-- `network_connections` - Roy Cohn, Steve Bannon, JD Vance, etc.
-- `nexus_json` - Full relationship graph in JSON
-- `epstein_mentions` - Count of mentions in court documents
-- `epstein_source` - Source documents
-
-**Assets:**
-- `lifestyle_transport` - Aircraft tail numbers (N757AF, N908JE "Lolita Express"), yachts
-- `lifestyle_residences` - Properties, addresses
-- `lifestyle_associates` - Known associates
-
-**Numerology & Astrology:**
-- `astro_sun_sign`, `astro_chinese_sign`, `astro_life_path`
-- Gematria calculations (simple, english, pythagorean)
-
-## Usage Examples
-
-### Query Epstein Connections
-
-```python
-import sqlite3
-conn = sqlite3.connect('investigative_collective.db')
-
-# Find everyone mentioned in Epstein docs
-cursor = conn.execute('''
-    SELECT full_name, epstein_mentions
-    FROM dossiers
-    WHERE epstein_mentions > 0
-    ORDER BY epstein_mentions DESC
-    LIMIT 20
-''')
-
-for name, count in cursor.fetchall():
-    print(f'{name}: {count} mentions')
+# APOKALYPSIS Investigation Dataset
+
+## Overview
+This dataset contains structured investigation data from the APOKALYPSIS project,
+documenting connections between persons of interest, organizations, and events.
+
+## Dataset Statistics
+- **Nodes**: 26381 entities (persons, organizations, locations, events)
+- **Connections**: 248558 relationships between entities
+- **Dossiers**: 803 detailed investigation reports
+- **Religious Affiliations**: 0 documented affiliations
+- **Occult Intel**: 0 symbolism/claims (crowdsourced research)
+
+## Files
+
+### nodes.jsonl / nodes.parquet
+Entity records with:
+- `id`: Unique identifier
+- `name`: Entity name
+- `category`: Type (person, organization, location, etc.)
+- `description`: Brief description
+- `latitude/longitude`: Geographic coordinates (if applicable)
+- `birth_date/death_date`: Dates (for persons)
+- `occupation`, `nationality`
+- `net_worth`: Estimated net worth
+- `created_at`: Record creation timestamp
+
+### connections.jsonl / connections.parquet
+Relationship records with:
+- `source_id/source_name`: Origin entity
+- `target_id/target_name`: Destination entity
+- `relationship_type`: Type of connection (financial, familial, etc.)
+- `strength`: Connection strength (1-10)
+- `start_year/end_year`: Time period of relationship
+- `evidence`: Supporting evidence/sources
+
+### dossiers.jsonl / dossiers.parquet
+Investigation reports with:
+- `filename`: Original file name
+- `title`: Report title
+- `content`: Full markdown content
+- `word_count`: Document length
+- `linked_node_id`: Associated entity
+
+### religious_affiliations.jsonl
+Religious and fraternal order memberships:
+- `node_id/node_name`: Entity
+- `religion`: Religious affiliation
+- `denomination`: Specific branch
+- `fraternal_orders`: List of orders (Skull & Bones, Freemasons, etc.)
+- `secret_societies`: List of societies (Bilderberg, CFR, etc.)
+- `confidence`: Data confidence score (0-100)
+
+### occult_intel.jsonl
+Crowdsourced symbolism research:
+- `node_id/node_name`: Entity
+- `intel_type`: Type of claim (hand_sign, photo_symbolism, etc.)
+- `claim`: The specific claim
+- `evidence_url`: Link to evidence
+- `source_name/source_url`: Where claim originated
+- `verified/debunked`: Verification status
+- `confidence`: Claim confidence score
+
+## Use Cases
+- Knowledge graph construction
+- Entity resolution and linking
+- Relationship extraction training
+- Network analysis
+- Named entity recognition (NER) training
+- Investigation assistance
+
+## License
+This dataset is provided for research and educational purposes.
+Data is compiled from public sources with citations.
+
+## Citation
 ```
-
-### Get Family Trees
-
-```python
-import json
-
-cursor = conn.execute('''
-    SELECT full_name, parents_json, children_json
-    FROM dossiers
-    WHERE parents_json IS NOT NULL
-''')
-
-for name, parents_str, children_str in cursor.fetchall():
-    parents = json.loads(parents_str) if parents_str else []
-    children = json.loads(children_str) if children_str else []
-    print(f'{name}:')
-    print(f'  Parents: {[p["name"] for p in parents]}')
-    print(f'  Children: {[c["name"] for c in children]}')
-```
-
-### Find Aircraft Owners
-
-```python
-cursor = conn.execute('''
-    SELECT full_name, lifestyle_transport
-    FROM dossiers
-    WHERE lifestyle_transport LIKE '%Aircraft%'
-''')
-
-for name, transport in cursor.fetchall():
-    print(f'{name}: {transport}')
-```
-
-## Data Sources
-
-All data extracted from public records:
-- DOJ Epstein court documents (3,910+ pages)
-- Wikidata (family relationships, career history)
-- SEC EDGAR (financial filings)
-- Congress.gov (voting records, committee memberships)
-- FEC (campaign finance)
-- Court records (lawsuits, judgments)
-- News archives (verified reporting)
-- DDoSecrets (leaked documents - when available)
-
-## Confidence Scoring
-
-Each data point tracked with confidence level:
-- **Tier 1 (90-100%):** Official documents, court records
-- **Tier 2 (70-89%):** Wikidata with citations
-- **Tier 3 (50-69%):** News articles, verified interviews
-- **Tier 4 (30-49%):** Leaked documents
-- **Tier 5 (10-29%):** Unverified claims
-
-## Live Investigation Platform
-
-**Public interface:** https://ozark-oracle.com
-
-Features:
-- Search all 7,452 dossiers
-- View complete network connections (crime nexus)
-- Interactive map of Epstein connections
-- Code words reference (trafficking euphemisms)
-- Real-time updates as investigation progresses
-
-## Updates
-
-This database is actively maintained and updated as:
-- New court documents are released
-- Additional connections are discovered
-- Family members are added to investigation
-- Evidence is verified and added
-
-**Last updated:** 2026-02-06
-**Dossiers:** 7,452
-**Blacklisted:** 1,058
-**Court document mentions:** 1,601 people
-
-## Mission
-
-**Eliminate pedophiles from existence through global investigation and public exposure.**
-
-Investigation findings are PUBLIC (14th Commandment). Investigation methods are PRIVATE.
-
-## License & Citation
-
-**Copyright (c) 2026 Tammy L Casey. All rights reserved.**
-
-If you use this database in research or journalism:
-```
-Epstein Investigation Database (2026).
-Comprehensive dossiers tracking 1,058 individuals connected to Epstein trafficking network.
-Retrieved from https://huggingface.co/datasets/PunkRockGirl/investigation-database
+@dataset{apokalypsis_2026,
+  title={APOKALYPSIS Investigation Dataset},
+  author={Casey, Tammy L.},
+  year={2026},
+  publisher={HuggingFace}
+}
 ```
 
 ## Contact
-
-For tips, evidence, or information: https://ozark-oracle.com/confession
-
-Anonymous submissions accepted. All evidence verified before publication.
-
----
-
-**APOKALYPSIS - THE UNVEILING**
-
-*"What is hidden will be revealed. What is secret will be made known."*
+Questions or corrections: [GitHub Issues]

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dataset_card.yaml

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+---
+language:
+- en
+license: cc-by-nc-4.0
+task_categories:
+- text-classification
+- token-classification
+- question-answering
+- graph-ml
+tags:
+- knowledge-graph
+- investigation
+- network-analysis
+- entity-linking
+- relationships
+size_categories:
+- 10K<n<100K
+---

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