FEAT Add DecodingTrust AdvGLUE++ (adversarial robustness) dataset

[rahul-art]

Adds a remote seed-dataset loader for the Adversarial Robustness perspective of the DecodingTrust benchmark (AdvGLUE++), one of the open DecodingTrust sub-tasks tracked in #291.

The loader fetches the three AdvGLUE++ surrogate files (alpaca, vicuna, stable-vicuna) at a pinned commit SHA and exposes each perturbed GLUE input as a SeedPrompt. Records ship in two shapes: some carry a pre-composed sentence, others store the perturbed parts separately (premise/hypothesis, sentence1/sentence2, question1/question2). The loader composes the prompt from component fields when needed using the same layout DecodingTrust uses, so no records are dropped, and preserves gold label, attack method and the clean original_* counterparts in metadata.

• New loader _DecodingTrustAdvGLUEDataset with DecodingTrustAdvGLUEModel and DecodingTrustAdvGLUETask filters, registered in the remote package.
• 22 unit tests covering both record shapes, per-task composition (including the QNLI sentence overload), filters, metadata and error paths.

Claude-Session: https://claude.ai/code/session_01LZPdM9LfD7nVRJRkyu2Ld9

Description

Tests and Documentation

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