| ---
|
| license: cc-by-sa-4.0
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| task_categories:
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| - text-generation
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| - graph-ml
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| language:
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| - en
|
| ---
|
|
|
| # CTNSG Graph Curriculum Dataset
|
|
|
| This dataset contains preprocessed graphs from **WebNLG (v3.0)**, **ATOMIC**, and **Spider**.
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| It is explicitly designed for the Canonical Tractable Neuro-Symbolic Generation (CTNSG) framework.
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|
|
| ## Preprocessing
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| All raw data has been parsed into continuous node and edge embeddings using `sentence-transformers/all-MiniLM-L6-v2`.
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| Crucially, the graphs have been mathematically canonicalized using the **Reverse Cuthill-McKee (RCM)** algorithm.
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| This minimizes the adjacency-matrix bandwidth, ensuring that structurally proximal nodes have nearby indices and breaking node symmetry reproducibly.
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|
|
| ### Topological Logic
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| * **ATOMIC** events are processed using an Entity Re-use Mechanism to create multi-hop Directed Acyclic Graphs (DAGs) representing deep causal chains.
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| * **Spider** text-to-SQL logic queries are structured into schema DAGs (Tables -> Columns).
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| * **Arbor TDP:** Linear agent traces are evaluated to find independent steps and mapped into true parallel DAGs.
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| * **SDRT:** Discourse parsing maps Elementary Discourse Units (EDUs) connected by rhetorical relations.
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| * **Verification:** SAIGuard multi-agent contagion graphs and Brick Router chat transcripts with Semantic Outlier Detection (SOD) scoring.
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|
|
| ## Splits
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| - WebNLG (v3.0): 13,211 train
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| - ATOMIC: 202,271 train (Causal Reasoning)
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| - Spider: 7,000 train (SQL Generation)
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| - FAAP (Fully Autonomous Atomic Propositions): 6,812 train (Decontextualization)
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|
|
| ## Privacy & Legal
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| This dataset complies with the Right to be Forgotten via the CTNSG TRACE module architecture.
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| WebNLG and Spider subsets are provided under CC BY-SA 4.0.
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|
|
