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A python library to generate out-of-distribution text datasets. Specifically, the library applies model-independent, commonplace corruptions (not model-specific, worst-case adversarial corruptions). We thus aim to allow benchmark-studies regarding robustness against realistic outliers.

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testingautomated-usi/corrupted-text

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A python library to generate out-of-distribution text datasets. Specifically, the library applies model-independent, commonplace corruptions (not model-specific, worst-case adversarial corruptions). We thus aim to allow benchmark-studies regarding robustness against realistic outliers.

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