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"0.0 0.059169 0.085744 0.042687 0.047284 0.05743 0.06229 0.048191 0.064636 0.085744 0.0743(...TRUNCATED) |
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"0.0 0.058553 0.066235 0.096756 0.095806 0.040524 0.056218 0.065104 0.075594 0.07871 0.055(...TRUNCATED) |
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"0.0 0.067235 0.088678 0.070218 0.061317 0.075892 0.065812 0.076897 0.086383 0.064295 0.07(...TRUNCATED) |
"0.0 0.075512 0.053916 0.046725 0.058614 0.074813 0.073905 0.064374 0.055362 0.103959 0.06(...TRUNCATED) |
"0.0 0.069648 0.062919 0.060931 0.061342 0.061819 0.045772 0.070938 0.107651 0.05626 0.038(...TRUNCATED) |
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ML4CO-Bench-101-SL
📚 Introduction
This is the accompanying dataset for our benchmark work ML4CO-Bench-101. The number of samples in the train_dataset and the test_dataset, as well as the parameter settings for the corresponding solver, are shown in the table below.
✨ Extended Dataset
In addition to the datasets mentioned above, we will periodically add some additional datasets in extended_dataset. Below is the update log.
- 2025.05.20,
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