time-agnostic-library: benchmark results on execution times and RAM

This dataset reports benchmark results of the Python software time-agnostic-library v2.2.2. Two benchmarks were performed, one on the execution times and the other on the RAM. The goal is to assess whether the Time Agnostic Library is efficient and operable despite working on the fly and without pre‑indexing. The experiments were conducted on the dataset described in 10.5281/zenodo.5549624, using a computer with the following hardware specifications. Only the components relevant to the results' reproduction are reported: CPU: Intel Core i5 8500 @ 3.00 GHz, 6 core, 6 logic processors. RAM: 32 GB DDR4 3000 MHz CL15. Storage: 1 TB SSD Nvme PCIe 3.0. The results obtained strictly depend on the hardware employed and are reproducible uniquely under the same conditions. In order to reproduce the results, extract the reproduce_results.zip archive. Then, execute run_benchmarks.sh on Linux or Mac, while run_benchmarks.bat on Windows