arXiv Computation and Language By Khoi-Nguyen Tran

perturber: A Stateless Service for Semantics-Preserving Text Perturbations

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The paper introduces perturber, a stateless service and Python library designed to apply single, semantics‑preserving text perturbations. It offers a catalog of 68 perturbations across 11 families, enabling reproducible, isolated application of each perturbation without coupling to a specific benchmarking stack. The authors evaluate the tool’s correctness, reproducibility, and cost, and provide a live playground and introspectable catalog for benchmark selection.

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