Share validated TGF parsing across training pipelines - #1
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Blank lines previously became empty argument identifiers, and the refined parser mishandled tab-separated attacks. Both training entry points now use a dependency-free parser for the unlabelled TGF subset used by the argumentation datasets.
Preserve input order, isolated nodes, self-attacks and the public wrappers' return types. Reject duplicate identifiers, missing/repeated separators, malformed attacks and undeclared endpoints before NetworkX can silently create extra nodes. Add component CI and document the supported subset.
Validation: 10 parser regression tests pass; both training entry points and the shared parser compile. No model training, checkpoint downloads or GPU validation was performed.