AI + human validation
Custom NLP models extract roles, timelines, and behavioral cues before analysts audit each record for accuracy.
Predator Poachers Data Commons
The only at-scale dataset built from real child predator confrontations.
Derived from long-form Predator Poachers videos, hidden-camera interviews, and chat logs, this archive pairs AI-assisted transcription with meticulous human review to surface sociological signals no other public dataset captures.
- 840+Verified confrontations
- 1.6MTranscript tokens/session
- 150+Demographic attributes
Latest ingestion
Predator Poachers Midwest tour
Batch 12 · Posted Oct 05
Data focus
- Demographics & identifiers
- Conversation artifacts
- Outcome + law enforcement notes
Data depth
Sociological context that goes far beyond surface-level incident reports.
Long-form transcripts
Every confrontation, hidden-camera interview, and chat exchange is processed end-to-end, preserving the cadence, pauses, and sentiment shifts.
Demographic lattice
Age, occupation, geography, digital habits, and community indicators mapped for both suspected offenders and investigative teams.
Behavioral markers
AI highlights grooming tactics, admission types, escalation triggers, and protective factors, all scored for research comparability.
QA + lineage
Each data point is traceable back to original footage, with human intervention whenever AI confidence drops below 92%.
Hours analyzed
4,300+Continuous video and audio evidence indexed scene by scene.
Unique fields
620From socio-economic flags to device fingerprints per confrontation.
Manual reviews
3xAnalysts re-check every AI extraction before release.
Dataset layers
Structured slices ready for criminology, sociology, and policy labs.
Sociology
Community Context
Macro data describing local resources, reporting patterns, and intervention gaps linked to each encounter.
Linguistics
Discourse Graphs
Turn-by-turn sentiment, power dynamics, and key phrase detection from raw transcripts.
Legal
Outcome Tracker
Post-confrontation follow-ups including arrests, charges filed, and jurisdictional responses.
Research notes
“This archive changes how we study grooming and intervention in the real world.”
“The combination of Predator Poachers video evidence and structured demographic data finally lets us model repeat behaviors with statistical rigor.”
Dr. Lena Ortiz
Lead Analyst, Safe Futures Lab“Hidden-camera context plus human-audited AI output means our graduate cohort can trust every row they ingest.”
Prof. Malik Chen
Sociology Department, Westridge UniversityRequest access
Tell us about your research goals and ethical review status.
Access is granted to qualified teams committed to safeguarding survivors and responsibly analyzing predator behavior. Expect a response within two business days.
- Data team data@predatorpoachers.org
- Phone +1 (737) 555-0147
- Location Remote · Evidence vault in Austin, TX