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Description
A JSON-LD knowledge graph encodes the concept layer of the Attention, Not Self research line. The dataset maps concepts between five Buddhist traditions (Theravāda, Sarvāstivāda, Yogācāra, Chan/Zen, Pure Land) and contemporary computational phenomenology frameworks. It was authored by Shimo4228 and last updated on Hugging Face in May 2026.
Use Cases
Analyze conceptual relationships between Buddhist traditions and computational frameworks based on the described knowledge graph structure.
Train or evaluate graph neural networks for cross-domain concept mapping based on the described structured relationships.
Support research in computational phenomenology by providing a structured mapping of concepts mentioned in the description.
Strengths
Structured as a JSON-LD knowledge graph, which suggests a formal semantic representation.
Maps concepts across five distinct Buddhist traditions and four contemporary computational frameworks as described.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Column-level documentation is absent; field semantics must be inferred after download.
Row count and file size are unknown, which may limit suitability assessment.
Provenance
Source
Hugging Face user Shimo4228.
Collection Method
Likely derived from the personal essay collection and structured mapping project 'Attention, Not Self'.
Freshness
Last updated 2026-05-18 02:34:24; freshness should be verified.
License is unknown; users should verify terms of use before application.