File size: 10,723 Bytes
3a39f8d e60ceeb 3a39f8d e60ceeb 3a39f8d e60ceeb 3a39f8d e60ceeb 3a39f8d e60ceeb 3a39f8d e60ceeb 3a39f8d e60ceeb cdffa5a 3a39f8d cdffa5a 3a39f8d cdffa5a 3a39f8d cdffa5a 4e97a11 2ce4f82 0426cbb 79cd7e0 0426cbb 75cc245 ac7d9f1 3721c84 ac7d9f1 2a0ad80 3aeb2d3 092f9c4 9179d4d 092f9c4 ad4e4c7 092f9c4 3aeb2d3 a310606 3aeb2d3 9179d4d 3aeb2d3 4f84a5c f22bb00 3aeb2d3 092f9c4 3aeb2d3 092f9c4 ab2fcb8 092f9c4 ab2fcb8 6c31d7f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 |
---
configs:
- config_name: CA-easy
data_files:
- split: test
path: CA/easy/test*
- split: train
path: CA/easy/train*
- split: validation
path: CA/easy/val*
- config_name: CA-medium
data_files:
- split: test
path: CA/medium/test*
- split: train
path: CA/medium/train*
- split: validation
path: CA/medium/val*
- config_name: CA-very-hard
data_files:
- split: test
path: CA/very-hard/test*
- split: train
path: CA/very-hard/train*
- split: validation
path: CA/very-hard/val*
- config_name: SC-easy
data_files:
- split: test
path: SC/easy/test*
- split: train
path: SC/easy/train*
- split: validation
path: SC/easy/val*
- config_name: SC-medium
data_files:
- split: test
path: SC/medium/test*
- split: train
path: SC/medium/train*
- split: validation
path: SC/medium/val*
- config_name: SC-hard
data_files:
- split: test
path: SC/hard/test*
- split: train
path: SC/hard/train*
- split: validation
path: SC/hard/val*
- config_name: SC-very-hard
data_files:
- split: test
path: SC/very-hard/test*
- split: train
path: SC/very-hard/train*
- split: validation
path: SC/very-hard/val*
- config_name: MIS-easy
data_files:
- split: test
path: MIS/easy/test*
- split: train
path: MIS/easy/train*
- split: validation
path: MIS/easy/val*
- config_name: MIS-medium
data_files:
- split: test
path: MIS/medium/test*
- split: train
path: MIS/medium/train*
- split: validation
path: MIS/medium/val*
- config_name: MIS-very-hard
data_files:
- split: test
path: MIS/very-hard/test*
- split: train
path: MIS/very-hard/train*
- split: validation
path: MIS/very-hard/val*
- config_name: MVC-easy
data_files:
- split: test
path: MVC/easy/test*
- split: train
path: MVC/easy/train*
- split: validation
path: MVC/easy/val*
- config_name: MVC-medium
data_files:
- split: test
path: MVC/medium/test*
- split: train
path: MVC/medium/train*
- split: validation
path: MVC/medium/val*
- config_name: MVC-hard
data_files:
- split: test
path: MVC/hard/test*
- split: train
path: MVC/hard/train*
- split: validation
path: MVC/hard/val*
- config_name: MVC-very-hard
data_files:
- split: test
path: MVC/very-hard/test*
- split: train
path: MVC/very-hard/train*
- split: validation
path: MVC/very-hard/val*
- config_name: LB-hard
data_files:
- split: test
path: LB/hard/test*
- split: train
path: LB/hard/train*
- split: validation
path: LB/hard/val*
- config_name: IP-very-hard
data_files:
- split: test
path: IP/very-hard/test*
- split: train
path: IP/very-hard/train*
- split: validation
path: IP/very-hard/val*
- config_name: GISP-easy
data_files:
- split: test
path: GISP/easy/test*
- split: train
path: GISP/easy/train*
- split: validation
path: GISP/easy/val*
- config_name: GISP-medium
data_files:
- split: test
path: GISP/medium/test*
- split: train
path: GISP/medium/train*
- split: validation
path: GISP/medium/val*
- config_name: GISP-hard
data_files:
- split: test
path: GISP/hard/test*
- split: train
path: GISP/hard/train*
- split: validation
path: GISP/hard/val*
- config_name: GISP-very-hard
data_files:
- split: test
path: GISP/very-hard/test*
- split: train
path: GISP/very-hard/train*
- split: validation
path: GISP/very-hard/val*
- config_name: GISP-ext-hard
data_files:
- split: test
path: GISP/ext-hard/test*
- split: train
path: GISP/ext-hard/train*
- split: validation
path: GISP/ext-hard/val*
- config_name: SRPN-easy
data_files:
- split: test
path: SRPN/easy/test*
- split: train
path: SRPN/easy/train*
- split: validation
path: SRPN/easy/val*
- config_name: SRPN-hard
data_files:
- split: test
path: SRPN/hard/test*
- split: train
path: SRPN/hard/train*
- split: validation
path: SRPN/hard/val*
- config_name: CFLP-easy
data_files:
- split: test
path: CFLP/easy/test*
- split: train
path: CFLP/easy/train*
- split: validation
path: CFLP/easy/val*
- config_name: CFLP-medium
data_files:
- split: test
path: CFLP/medium/test*
- split: train
path: CFLP/medium/train*
- split: validation
path: CFLP/medium/val*
- config_name: MIRP-medium
data_files:
- split: test
path: MIRP/medium/test*
- split: train
path: MIRP/medium/train*
- config_name: MMCN-medium-BC
data_files:
- split: test
path: MMCN/medium-BC/test*
- split: train
path: MMCN/medium-BC/train*
- split: validation
path: MMCN/medium-BC/val*
- config_name: MMCN-medium-BI
data_files:
- split: test
path: MMCN/medium-BI/test*
- split: train
path: MMCN/medium-BI/train*
- split: validation
path: MMCN/medium-BI/val*
- config_name: MMCN-hard-BI
data_files:
- split: test
path: MMCN/hard-BI/test*
- split: train
path: MMCN/hard-BI/train*
- split: validation
path: MMCN/hard-BI/val*
- config_name: MMCN-very-hard-BI
data_files:
- split: test
path: MMCN/very-hard-BI/test*
- split: train
path: MMCN/very-hard-BI/train*
- split: validation
path: MMCN/very-hard-BI/val*
- config_name: NNV-easy
data_files:
- split: test
path: NNV/easy/test*
- split: train
path: NNV/easy/train*
- split: validation
path: NNV/easy/val*
- config_name: OTS-easy
data_files:
- split: test
path: OTS/easy/test*
- split: train
path: OTS/easy/train*
- split: validation
path: OTS/easy/val*
- config_name: OTS-hard
data_files:
- split: test
path: OTS/hard/test*
- split: train
path: OTS/hard/train*
- split: validation
path: OTS/hard/val*
- config_name: OTS-medium
data_files:
- split: test
path: OTS/medium/test*
- split: train
path: OTS/medium/train*
- split: validation
path: OTS/medium/val*
---
# Dataset Card for Distributional MIPLIB (D-MIPLIB)
<!-- Provide a quick summary of the dataset. -->
🌐 [website](https://sites.google.com/usc.edu/distributional-miplib)
Introducing Distributional MIPLIB (D-MIPLIB), the first comprehensive standardized dataset for evaluating ML-guided Mixed Integer Linear Programming (MILP) solving. Details of D-MIPLIB can be found on our [website](https://sites.google.com/usc.edu/distributional-miplib).
### Composition
Distributional MIPLIB contains MILP distributions from 13 application domains and of different hardness levels. A list of all the domains and all the distributions is provided at [website](https://sites.google.com/usc.edu/distributional-miplib). Each distribution contains a set of similar MILP optimization problem instances that correspond to the same model (a class of combinatorial optimization with specific parameters).
For each distribution, there are 1000 instances in total, except for cases where more instances have been made publicly available previously or when limited instances are available. For Neural Network Verification, there are 3692 instances in total. Maritime Inventory Routing Problem contains 118 instances. Seismic-Resilient Pipe Network Planning domain contains 219 and 206 instances in the Easy and Hard distribution, respectively.
### Loading MILP instances
MILP instances in this library are stored as text strings. You can download the MILP as *.lp or *.mps files by
```python
from datasets import load_dataset
# load the first test instance
dataset = load_dataset("weiminhu/D-MIPLIB","CA-easy", split='test')
test_id = 0
test_instance = dataset[test_id]['MILP']
# check file format
file_format='lp'
if 'format' in list(dataset[0].keys()):
if dataset[0]['format']=='mps':
file_format='mps'
ins_save_path = "./test_instance_%s.%s" % (test_id,file_format)
# write file to disk
with open(ins_save_path, "w") as file:
tmp=test_instance[2:-1]
tmp=tmp.replace("\\n","\n")
file.write(tmp)
```
To load and solve the MILP in Gurobi, run
```python
import gurobipy as gp
model=gp.read(ins_save_path)
model.optimize()
```
### License
Instances data in different domains is licensed under different licenses, as we curated the data from different sources.
| Domain | License |
|--------|----------------------|
| CA | [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/legalcode) |
| SC | [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/legalcode) |
| MIS | [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/legalcode) |
| MVC | [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/legalcode) |
| GISP | [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/legalcode) |
| CFLP | [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/legalcode) |
| LB | BSD 3-Clause License [(Source repository)](https://github.com/ds4dm/ml4co-competition/tree/main)[(Details and copyright notice)](https://github.com/ds4dm/ml4co-competition/blob/main/LICENSE) |
| IP | BSD 3-Clause License [(Source repository)](https://github.com/ds4dm/ml4co-competition/tree/main)[(Details and copyright notice)](https://github.com/ds4dm/ml4co-competition/blob/main/LICENSE) |
| MIRP | BSD 3-Clause License [(Source repository)](https://github.com/ds4dm/ml4co-competition/tree/main) [(Details and copyright notice)](https://github.com/ds4dm/ml4co-competition/blob/main/LICENSE) |
| NNV | [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/legalcode) [(Source repository)](https://github.com/google-deepmind/deepmind-research/tree/master/neural_mip_solving) |
| OTS | [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/legalcode) |
| MMCN | [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/legalcode) |
| SRPN | [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/legalcode) |
### Citation
**BibTeX:**
```BibTeX
@misc{huang2024distributional,
title={Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods},
author={Weimin Huang and Taoan Huang and Aaron M Ferber and Bistra Dilkina},
year={2024},
eprint={2406.06954},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
```
|