Wrench is a benchmark platform for thorough and standardized evaluation of Weak Supervision (WS). It consists of 22 varied real-world datasets for classification and sequence tagging; a range of real, synthetic, and procedurally-generated weak supervision sources; and a modular, extensible framework for WS evaluation, including implementations for popular WS methods.

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