| --- |
| license: mit |
| pretty_name: remilp-data |
| --- |
| |
| # ReMILP dataset |
|
|
| MILP instances as bipartite variable-constraint graphs, with the labels of the |
| downstream tasks of the ReMILP paper. |
|
|
| | directory | instances | splits | labels | |
| |----------------------------------|----------------------------|------------------------------------------------|---------------------------| |
| | `milp_evolve/` | 42,193 | `pretrain/{train,val}`, `gap/{train,val,test}` | integrality gap | |
| | `dmiplib/<CLASS>/<difficulty>/` | 300 per pair (23 pairs) | `train`, `val`, `test` = 200 / 50 / 50 | solution pool | |
|
|
| Pairs, from [Distributional MIPLIB](https://huggingface.co/datasets/weiminhu/D-MIPLIB): |
| CA and IS easy/medium; SC, VC and GISP easy/medium/hard; MMCN medium-BI, hard-BI and |
| medium-BC; CFLP easy/medium; OTS easy/medium/hard; NNV easy; LB hard. |
|
|
| ## Layout |
|
|
| ``` |
| <source>/manifest.json {"source", "processing", "entries": [{"id", "split", "num_nodes", "num_edges"}, ...]} |
| <source>/<split>/graphs/<id>.pt.zst a torch_geometric HeteroData, zstd-compressed |
| <source>/<split>/raw.tar instances/<id>.(mps|lp).gz and labels/<id>.json.gz |
| ``` |
|
|
| ## Labels |
|
|
| - `milp_evolve`: `lp_ip_gap = min(1, |IP - LP| / (max(|IP|, |LP|) + 1e-5))`. |
| - `dmiplib`: a pool of up to 300 solutions per instance (Gurobi, one hour per instance). |
| `solution_probs` and `active_probs` are softmax-over-objective weighted averages over |
| the pool of each binary variable's value and of each constraint's tightness. |
|
|
| ## Use |
|
|
| ```bash |
| hf download orailix/remilp-data --repo-type dataset --local-dir data --exclude "*/raw.tar" |
| ``` |
|
|
| ## Attribution |
|
|
| The instances in this dataset come from [D-MIPLIB](https://huggingface.co/datasets/weiminhu/D-MIPLIB) and [MILP-Evolve](https://huggingface.co/datasets/microsoft/MILP-Evolve). All instances are re-distributed under their original licenses. Refer to `DATA_LICENSE.md` for more details. |
|
|
