https://pypi.org/project/stream-dataset/ Recent updates to the Python Package Index for stream-dataset en https://pypi.org/project/stream-dataset/0.1.6/ STREAM (Sequential Tasks Review to Evaluate Artificial Memory) is a dataset of 12 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 architectures on memory retention and sequential reasoning. yannis.bendiouis@gmail.com Sun, 03 May 2026 17:43:44 GMT https://pypi.org/project/stream-dataset/0.1.5/ STREAM (Sequential Tasks Review to Evaluate Artificial Memory) is a dataset of 12 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 architectures on memory retention and sequential reasoning. yannis.bendiouis@gmail.com Sat, 04 Apr 2026 17:30:41 GMT https://pypi.org/project/stream-dataset/0.1.4/ STREAM (Sequential Tasks Review to Evaluate Artificial Memory) is a dataset of 12 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 architectures on memory retention and sequential reasoning. yannis.bendiouis@gmail.com Sat, 04 Apr 2026 17:16:55 GMT https://pypi.org/project/stream-dataset/0.1.3/ STREAM (Sequential Tasks Review to Evaluate Artificial Memory) is a dataset of 12 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 architectures on memory retention and sequential reasoning. yannis.bendiouis@gmail.com Sat, 04 Apr 2026 16:24:53 GMT https://pypi.org/project/stream-dataset/0.1.2/ STREAM (Sequential Tasks Review to Evaluate Artificial Memory) is a dataset of 12 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 architectures on memory retention and sequential reasoning. yannis.bendiouis@gmail.com Fri, 03 Apr 2026 18:26:51 GMT https://pypi.org/project/stream-dataset/0.1.1/ STREAM (Sequential Tasks Review to Evaluate Artificial Memory) is a dataset of 12 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 architectures on memory retention and sequential reasoning. yannis.bendiouis@gmail.com Fri, 03 Apr 2026 12:13:33 GMT https://pypi.org/project/stream-dataset/0.1.0/ STREAM (Sequential Tasks Review to Evaluate Artificial Memory) is a dataset of 12 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 architectures on memory retention and sequential reasoning. yannis.bendiouis@gmail.com Fri, 03 Apr 2026 12:06:33 GMT