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CogScale: Scalable Benchmark for Sequence Processing is a dataset of 14 diverse sequential tasks to assess neural networks’ memory. Scalable in complexity and sequence length, it covers pattern completion, copy tasks, forecasting, bracket matching, and sorting—ideal for comparing
pip install cogscale
PyPI declares 1 unique dependency rule for this release. Environment markers are shown when supplied by the project.
cogscale publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.
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PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
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