mradermacher/gpt-oss-20b-ilograph-instruct-i1-GGUF
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Ilograph Dataset
A basic dataset for teaching models to build Ilograph diagrams through multiturn conversations. The model is trained on multiturn conversations so it can understand how to build up diagrams as the conversation progresses.
Dataset Structure
The dataset is organized in three phases:
- Phase 1 — Teaches resources (nodes/components in the diagram).
- Phase 2 — Teaches relations (connections and dependencies between resources).
- Phase 3 — Teaches sequences (ordering and flow of steps or events).
The final dataset is an augmented version derived from the converted datasets (phase 1–3). The converted datasets were built from scratch.
Summary
- ~300 augmented examples in the final dataset.
- Multiturn conversations so the model learns to extend and refine diagrams step by step.
- This is a basic dataset; for future work, more complex data is needed to help models understand and finetune better.
Author
Chris Mijangos — IT Student Architect at BYU
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