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0.0 0.073912 0.051803 0.04341 0.063528 0.064425 0.06831 0.040353 0.071468 0.04899 0.050044 0.06591 0.085725 0.053356 0.018688 0.077027 0.067239 0.059195 0.008062 0.085569 0.058777 0.067101 0.050313 0.050341 0.048896 0.02815 0.044476 0.073507 0.059803 0.063138 0.064226 0.042627 0.048801 ... |
0.0 0.038935 0.034639 0.028724 0.040431 0.030979 0.051472 0.015259 0.024989 0.036546 0.056942 0.057424 0.027419 0.035005 0.056884 0.046649 0.047654 0.075913 0.045501 0.027753 0.045106 0.03066 0.038271 0.037273 0.034843 0.01947 0.048175 0.028926 0.027113 0.037879 0.031286 0.052566 0.01698... |
"0.0 0.059169 0.085744 0.042687 0.047284 0.05743 0.06229 0.048191 0.064636 0.085744 0.0743(...TRUNCATED) |
"0.0 0.008225 0.051634 0.043414 0.060867 0.050276 0.036016 0.0616 0.025928 0.042418 0.0514(...TRUNCATED) |
"0.0 0.05053 0.054554 0.054955 0.071763 0.096947 0.078246 0.045129 0.086683 0.104354 0.112(...TRUNCATED) |
"0.0 0.058553 0.066235 0.096756 0.095806 0.040524 0.056218 0.065104 0.075594 0.07871 0.055(...TRUNCATED) |
"0.0 0.060547 0.064522 0.060256 0.087249 0.069027 0.098237 0.078999 0.047086 0.070672 0.07(...TRUNCATED) |
"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) |
End of preview.
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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