WithinUsAI/Supernatural_25k

SupernaturalArchon25k (Master Scholar)

Supernatural_Archon_25k is a 25,000-example dataset aimed at master-scholar depth on supernatural topics as cultural, historical, and analytical material. It is designed for:

• —Comparative mythology & folklore (motifs, functions, quant methods)
• —Esoteric history & historiography (grimoires, alchemy, hermeticism) as historical literature
• —Comparative religion & hermeneutics
• —Scientific evaluation of paranormal claims (protocols, statistics, cognitive bias)
• —Cognitive science of anomalous experiences (sleep states, agency detection, coincidence)
• —Ritual studies & symbolic interpretation (semiotics, meaning, context)
• —Fictional worldbuilding systems for supernatural settings (explicitly labeled as fiction)
• —Ethics and safety around publishing supernatural-themed content

This dataset is synthetic and uses a single consistent schema across all records.

Files

• —supernatural_archon_25k.jsonl — 25,000 records (single schema).
• —dataset_card.md — Hugging Face dataset metadata.

Single schema (consistent across all records)

Each JSONL line contains:

• —id (string): unique identifier
• —prompt (string): task prompt (plain text; math included where relevant)
• —answer (string): concise master-scholar answer
• —domain (string): one of
• —mythology_folklore, esoteric_history, comparative_religion, paranormal_investigation, cognitive_anomalies, ritual_literature, occult_symbolism, worldbuilding_systems, ethics_safety, safety
• —subdomain (string): e.g., motif_analysis, historiography, protocols, coincidence, ritual_theory, correspondences, system_design, etc.
• —task_type (string): compute | explain | derive | design | critique | interpret
• —level (string): fixed as master_scholar
• —verification.method (string): formula | closed_form | constructed | manual_review_recommended | etc.
• —safety (string): allowed or refuse
• —license (string): apache-2.0
• —source (string)
• —seed (int)

Domain composition

{ "mythologyfolklore": 5000, "esoterichistory": 3500, "comparativereligion": 2500, "paranormalinvestigation": 3000, "cognitiveanomalies": 2500, "ritualliterature": 2500, "occultsymbolism": 2000, "worldbuildingsystems": 2000, "ethics_safety": 1500, "safety": 500 }

Safety and responsible use

• —The dataset does not provide instructions to harm, coerce, or target real people.
• —A subset of examples are refusals for harmful requests (e.g., curses targeting individuals, coercion, or evasion).
• —Where “ritual” language appears, it is framed as literary/fictional or as historical/anthropological description, not as a claim of real-world efficacy.

Recommended use

• —SFT / instruction tuning: train prompt -> answer.
• —Compute-only evaluation: filter by task_type == "compute" and verification.method in {"formula","closed_form","constructed"}.
• —Balanced modeling: mix paranormal_investigation + cognitive_anomalies with mythology_folklore and esoteric_history to build systems that are both culturally literate and statistically disciplined.

License

Apache-2.0