Dataset Viewer
Auto-converted to Parquet Duplicate
num_jobs
int64
2
100
num_machines
int64
2
50
prompt_jobs_first
stringlengths
516
37.9k
instruction
stringclasses
60 values
prompt_machines_first
stringlengths
496
43.1k
input
stringlengths
27
37.9k
output
stringlengths
267
131k
path
stringlengths
0
15
matrix
stringlengths
19
56.2k
size
stringclasses
60 values
__index_level_0__
int64
0
130k
6
6
Optimize schedule for 6 Jobs across 6 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Job 0 consists of the following Operations: Operation 0 on Machine 1 d...
Optimize schedule for 6 Jobs (denoted as J) across 6 Machines (denoted as M) to minimize makespan. The makespan is the completion time of the last operation in the schedule. Each M can process only one J at a time, and once started, J cannot be interrupted.
Optimize schedule for 6 Jobs across 6 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Machine 0 is used for the following Operations: Job 1 Operation 0 dura...
J0: M1:13 M5:119 M4:310 M2:39 M3:294 M0:145 J1: M0:56 M4:105 M2:270 M3:278 M5:165 M1:253 J2: M5:138 M1:45 M3:43 M0:264 M4:194 M2:313 J3: M3:40 M1:113 M5:176 M4:120 M2:63 M0:200 J4: M1:268 M0:268 M5:174 M2:302 M4:229 M3:218 J5: M4:190 M3:122 M1:34 M0:62 M5:188 M2:41
Solution: Job 1 Operation 0 on Machine 0 : 0 + 56 -> 56 Job 0 Operation 0 on Machine 1 : 0 + 13 -> 13 Job 3 Operation 0 on Machine 3 : 0 + 40 -> 40 Job 5 Operation 0 on Machine 4 : 0 + 190 -> 190 Job 2 Operation 0 on Machine 5 : 0 + 138 -> 138 Job 4 Operation 0 on Machine 1 : 13 + 268 -> 281 Job 0 Operati...
6 6 1 13 5 119 4 310 2 39 3 294 0 145 0 56 4 105 2 270 3 278 5 165 1 253 5 138 1 45 3 43 0 264 4 194 2 313 3 40 1 113 5 176 4 120 2 63 0 200 1 268 0 268 5 174 2 302 4 229 3 218 4 190 3 122 1 34 0 62 5 188 2 41
6x6
64,801
4
4
Optimize schedule for 4 Jobs across 4 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Job 0 consists of the following Operations: Operation 0 on Machine 3 d...
Optimize schedule for 4 Jobs (denoted as J) across 4 Machines (denoted as M) to minimize makespan. The makespan is the completion time of the last operation in the schedule. Each M can process only one J at a time, and once started, J cannot be interrupted.
Optimize schedule for 4 Jobs across 4 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Machine 0 is used for the following Operations: Job 2 Operation 0 dura...
J0: M3:108 M1:47 M0:77 M2:138 J1: M3:1 M1:14 M2:47 M0:136 J2: M0:78 M1:147 M3:28 M2:35 J3: M1:37 M3:149 M2:67 M0:108
Solution: Job 2 Operation 0 on Machine 0 : 0 + 78 -> 78 Job 3 Operation 0 on Machine 1 : 0 + 37 -> 37 Job 1 Operation 0 on Machine 3 : 0 + 1 -> 1 Job 0 Operation 0 on Machine 3 : 1 + 108 -> 109 Job 1 Operation 1 on Machine 1 : 37 + 14 -> 51 Job 1 Operation 2 on Machine 2 : 51 + 47 -> 98 Job 2 Operation 1 ...
4 4 3 108 1 47 0 77 2 138 3 1 1 14 2 47 0 136 0 78 1 147 3 28 2 35 1 37 3 149 2 67 0 108
4x4
107,779
6
3
Optimize schedule for 6 Jobs across 3 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Job 0 consists of the following Operations: Operation 0 on Machine 2 d...
Optimize schedule for 6 Jobs (denoted as J) across 3 Machines (denoted as M) to minimize makespan. The makespan is the completion time of the last operation in the schedule. Each M can process only one J at a time, and once started, J cannot be interrupted.
Optimize schedule for 6 Jobs across 3 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Machine 0 is used for the following Operations: Job 3 Operation 0 dura...
J0: M2:126 M1:57 M0:11 J1: M1:7 M2:81 M0:27 J2: M1:151 M0:41 M2:92 J3: M0:9 M1:153 M2:156 J4: M1:4 M0:9 M2:89 J5: M2:119 M0:159 M1:175
Solution: Job 3 Operation 0 on Machine 0 : 0 + 9 -> 9 Job 4 Operation 0 on Machine 1 : 0 + 4 -> 4 Job 5 Operation 0 on Machine 2 : 0 + 119 -> 119 Job 1 Operation 0 on Machine 1 : 4 + 7 -> 11 Job 4 Operation 1 on Machine 0 : 9 + 9 -> 18 Job 2 Operation 0 on Machine 1 : 11 + 151 -> 162 Job 5 Operation 1 on ...
6 3 2 126 1 57 0 11 1 7 2 81 0 27 1 151 0 41 2 92 0 9 1 153 2 156 1 4 0 9 2 89 2 119 0 159 1 175
6x3
13,114
10
8
Optimize schedule for 10 Jobs across 8 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Job 0 consists of the following Operations: Operation 0 on Machine 1 ...
Optimize schedule for 10 Jobs (denoted as J) across 8 Machines (denoted as M) to minimize makespan. The makespan is the completion time of the last operation in the schedule. Each M can process only one J at a time, and once started, J cannot be interrupted.
Optimize schedule for 10 Jobs across 8 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Machine 0 is used for the following Operations: Job 1 Operation 0 dur...
J0: M1:79 M0:91 M6:75 M5:189 M2:205 M7:76 M3:106 M4:184 J1: M0:133 M7:137 M5:14 M2:22 M3:82 M4:158 M6:90 M1:70 J2: M0:124 M5:125 M7:41 M1:126 M6:119 M2:33 M4:77 M3:61 J3: M1:126 M4:117 M7:114 M5:65 M2:26 M6:141 M3:31 M0:29 J4: M4:44 M3:192 M2:44 M0:60 M5:204 M6:32 M7:172 M1:135 J5: M4:194 M7:202 M6:100 M0:24 M5:39 M2:1...
Solution: Job 2 Operation 0 on Machine 0 : 0 + 124 -> 124 Job 6 Operation 0 on Machine 1 : 0 + 173 -> 173 Job 4 Operation 0 on Machine 4 : 0 + 44 -> 44 Job 4 Operation 1 on Machine 3 : 44 + 192 -> 236 Job 8 Operation 0 on Machine 4 : 44 + 203 -> 247 Job 1 Operation 0 on Machine 0 : 124 + 133 -> 257 Job 2 ...
10 8 1 79 0 91 6 75 5 189 2 205 7 76 3 106 4 184 0 133 7 137 5 14 2 22 3 82 4 158 6 90 1 70 0 124 5 125 7 41 1 126 6 119 2 33 4 77 3 61 1 126 4 117 7 114 5 65 2 26 6 141 3 31 0 29 4 44 3 192 2 44 0 60 5 204 6 32 7 172 1 135 4 194 7 202 6 100 0 24 5 39 2 188 3 201 1 38 1 173 5 163 2 162 0 128 6 118 3 118 4 124 7 106 4 1...
10x8
46,544
7
5
Optimize schedule for 7 Jobs across 5 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Job 0 consists of the following Operations: Operation 0 on Machine 3 d...
Optimize schedule for 7 Jobs (denoted as J) across 5 Machines (denoted as M) to minimize makespan. The makespan is the completion time of the last operation in the schedule. Each M can process only one J at a time, and once started, J cannot be interrupted.
Optimize schedule for 7 Jobs across 5 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Machine 0 is used for the following Operations: Job 5 Operation 0 dura...
J0: M3:190 M2:29 M4:409 M0:169 M1:119 J1: M4:223 M2:368 M0:308 M1:286 M3:250 J2: M2:251 M0:55 M3:330 M1:202 M4:349 J3: M2:64 M4:25 M3:253 M0:296 M1:276 J4: M4:220 M0:283 M2:78 M3:298 M1:121 J5: M0:149 M2:141 M4:280 M3:145 M1:114 J6: M4:7 M1:133 M2:441 M0:218 M3:434
Solution: Job 5 Operation 0 on Machine 0 : 0 + 149 -> 149 Job 3 Operation 0 on Machine 2 : 0 + 64 -> 64 Job 0 Operation 0 on Machine 3 : 0 + 190 -> 190 Job 1 Operation 0 on Machine 4 : 0 + 223 -> 223 Job 2 Operation 0 on Machine 2 : 64 + 251 -> 315 Job 3 Operation 1 on Machine 4 : 223 + 25 -> 248 Job 3 Op...
7 5 3 190 2 29 4 409 0 169 1 119 4 223 2 368 0 308 1 286 3 250 2 251 0 55 3 330 1 202 4 349 2 64 4 25 3 253 0 296 1 276 4 220 0 283 2 78 3 298 1 121 0 149 2 141 4 280 3 145 1 114 4 7 1 133 2 441 0 218 3 434
7x5
80,620
15
10
Optimize schedule for 15 Jobs across 10 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Job 0 consists of the following Operations: Operation 0 on Machine 1...
Optimize schedule for 15 Jobs (denoted as J) across 10 Machines (denoted as M) to minimize makespan. The makespan is the completion time of the last operation in the schedule. Each M can process only one J at a time, and once started, J cannot be interrupted.
Optimize schedule for 15 Jobs across 10 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Machine 0 is used for the following Operations: Job 9 Operation 1 du...
J0: M1:348 M5:110 M8:57 M7:155 M9:250 M3:98 M0:34 M6:90 M4:163 M2:450 J1: M5:170 M4:400 M1:229 M3:140 M0:331 M7:233 M8:321 M6:252 M9:313 M2:221 J2: M4:426 M1:352 M0:15 M7:115 M6:269 M5:153 M3:33 M2:189 M8:103 M9:37 J3: M8:79 M1:443 M6:30 M0:323 M9:45 M5:301 M2:376 M4:168 M7:108 M3:394 J4: M3:451 M8:434 M0:265 M6:84 M9:...
Solution: Job 13 Operation 0 on Machine 1 : 0 + 109 -> 109 Job 4 Operation 0 on Machine 3 : 0 + 451 -> 451 Job 5 Operation 0 on Machine 4 : 0 + 46 -> 46 Job 1 Operation 0 on Machine 5 : 0 + 170 -> 170 Job 9 Operation 0 on Machine 6 : 0 + 47 -> 47 Job 3 Operation 0 on Machine 8 : 0 + 79 -> 79 Job 11 Operat...
15 10 1 348 5 110 8 57 7 155 9 250 3 98 0 34 6 90 4 163 2 450 5 170 4 400 1 229 3 140 0 331 7 233 8 321 6 252 9 313 2 221 4 426 1 352 0 15 7 115 6 269 5 153 3 33 2 189 8 103 9 37 8 79 1 443 6 30 0 323 9 45 5 301 2 376 4 168 7 108 3 394 3 451 8 434 0 265 6 84 9 152 2 26 1 94 5 223 7 196 4 338 4 46 7 201 3 279 1 354 6 44...
15x10
35,252
10
7
Optimize schedule for 10 Jobs across 7 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Job 0 consists of the following Operations: Operation 0 on Machine 2 ...
Optimize schedule for 10 Jobs (denoted as J) across 7 Machines (denoted as M) to minimize makespan. The makespan is the completion time of the last operation in the schedule. Each M can process only one J at a time, and once started, J cannot be interrupted.
Optimize schedule for 10 Jobs across 7 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Machine 0 is used for the following Operations: Job 2 Operation 0 dur...
J0: M2:14 M3:29 M6:105 M1:82 M4:67 M5:36 M0:245 J1: M1:219 M5:204 M0:228 M2:212 M6:85 M4:131 M3:35 J2: M0:161 M2:159 M3:103 M6:176 M5:235 M1:99 M4:99 J3: M2:243 M1:231 M4:260 M3:57 M5:35 M6:188 M0:68 J4: M5:266 M4:47 M0:272 M1:117 M3:48 M2:169 M6:111 J5: M0:250 M3:167 M4:238 M2:126 M1:142 M6:195 M5:228 J6: M2:65 M0:209...
Solution: Job 2 Operation 0 on Machine 0 : 0 + 161 -> 161 Job 0 Operation 0 on Machine 2 : 0 + 14 -> 14 Job 7 Operation 0 on Machine 4 : 0 + 258 -> 258 Job 8 Operation 0 on Machine 5 : 0 + 22 -> 22 Job 9 Operation 0 on Machine 6 : 0 + 50 -> 50 Job 0 Operation 1 on Machine 3 : 14 + 29 -> 43 Job 8 Operation...
10 7 2 14 3 29 6 105 1 82 4 67 5 36 0 245 1 219 5 204 0 228 2 212 6 85 4 131 3 35 0 161 2 159 3 103 6 176 5 235 1 99 4 99 2 243 1 231 4 260 3 57 5 35 6 188 0 68 5 266 4 47 0 272 1 117 3 48 2 169 6 111 0 250 3 167 4 238 2 126 1 142 6 195 5 228 2 65 0 209 4 258 5 191 1 177 6 212 3 194 4 258 2 206 5 174 6 60 3 266 0 70 1 ...
10x7
48,645
15
10
Optimize schedule for 15 Jobs across 10 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Job 0 consists of the following Operations: Operation 0 on Machine 3...
Optimize schedule for 15 Jobs (denoted as J) across 10 Machines (denoted as M) to minimize makespan. The makespan is the completion time of the last operation in the schedule. Each M can process only one J at a time, and once started, J cannot be interrupted.
Optimize schedule for 15 Jobs across 10 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Machine 0 is used for the following Operations: Job 11 Operation 1 d...
J0: M3:134 M5:4 M6:69 M2:161 M1:27 M7:46 M8:33 M0:215 M9:284 M4:180 J1: M3:258 M1:229 M7:39 M6:200 M4:280 M9:4 M0:295 M2:65 M5:177 M8:216 J2: M6:4 M9:146 M8:195 M2:90 M3:112 M1:188 M4:253 M0:52 M5:22 M7:150 J3: M6:242 M3:314 M9:276 M0:12 M7:12 M5:279 M4:262 M8:213 M2:307 M1:329 J4: M8:315 M2:159 M0:277 M7:161 M6:63 M3:...
Solution: Job 1 Operation 0 on Machine 3 : 0 + 258 -> 258 Job 6 Operation 0 on Machine 4 : 0 + 97 -> 97 Job 2 Operation 0 on Machine 6 : 0 + 4 -> 4 Job 12 Operation 0 on Machine 7 : 0 + 149 -> 149 Job 4 Operation 0 on Machine 8 : 0 + 315 -> 315 Job 14 Operation 0 on Machine 9 : 0 + 84 -> 84 Job 3 Operatio...
15 10 3 134 5 4 6 69 2 161 1 27 7 46 8 33 0 215 9 284 4 180 3 258 1 229 7 39 6 200 4 280 9 4 0 295 2 65 5 177 8 216 6 4 9 146 8 195 2 90 3 112 1 188 4 253 0 52 5 22 7 150 6 242 3 314 9 276 0 12 7 12 5 279 4 262 8 213 2 307 1 329 8 315 2 159 0 277 7 161 6 63 3 148 5 253 4 303 1 260 9 351 9 305 5 214 3 174 6 340 0 167 8 ...
15x10
98,002
6
5
Optimize schedule for 6 Jobs across 5 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Job 0 consists of the following Operations: Operation 0 on Machine 3 d...
Optimize schedule for 6 Jobs (denoted as J) across 5 Machines (denoted as M) to minimize makespan. The makespan is the completion time of the last operation in the schedule. Each M can process only one J at a time, and once started, J cannot be interrupted.
Optimize schedule for 6 Jobs across 5 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Machine 0 is used for the following Operations: Job 1 Operation 1 dura...
J0: M3:10 M1:18 M2:6 M4:1 M0:11 J1: M3:2 M0:6 M4:3 M1:1 M2:16 J2: M1:2 M0:11 M3:6 M2:1 M4:8 J3: M4:16 M3:13 M2:1 M0:9 M1:20 J4: M1:2 M0:5 M2:16 M4:7 M3:15 J5: M2:6 M1:12 M0:5 M4:8 M3:1
Solution: Job 2 Operation 0 on Machine 1 : 0 + 2 -> 2 Job 5 Operation 0 on Machine 2 : 0 + 6 -> 6 Job 1 Operation 0 on Machine 3 : 0 + 2 -> 2 Job 3 Operation 0 on Machine 4 : 0 + 16 -> 16 Job 1 Operation 1 on Machine 0 : 2 + 6 -> 8 Job 4 Operation 0 on Machine 1 : 2 + 2 -> 4 Job 0 Operation 0 on Machine 3...
6 5 3 10 1 18 2 6 4 1 0 11 3 2 0 6 4 3 1 1 2 16 1 2 0 11 3 6 2 1 4 8 4 16 3 13 2 1 0 9 1 20 1 2 0 5 2 16 4 7 3 15 2 6 1 12 0 5 4 8 3 1
6x5
54,339
10
3
Optimize schedule for 10 Jobs across 3 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Job 0 consists of the following Operations: Operation 0 on Machine 0 ...
Optimize schedule for 10 Jobs (denoted as J) across 3 Machines (denoted as M) to minimize makespan. The makespan is the completion time of the last operation in the schedule. Each M can process only one J at a time, and once started, J cannot be interrupted.
Optimize schedule for 10 Jobs across 3 Machines to minimize makespan. Each job involves a series of Operations needing specific machines and times. Operations are processed in order, without interruption, on a single Machine at a time. Problem: Machine 0 is used for the following Operations: Job 0 Operation 0 dur...
J0: M0:237 M1:324 M2:325 J1: M2:185 M1:257 M0:3 J2: M2:253 M0:97 M1:211 J3: M2:282 M1:205 M0:185 J4: M1:346 M0:217 M2:261 J5: M2:263 M0:229 M1:189 J6: M2:189 M0:292 M1:310 J7: M1:264 M2:73 M0:294 J8: M2:271 M1:169 M0:369 J9: M1:248 M0:3 M2:61
Solution: Job 0 Operation 0 on Machine 0 : 0 + 237 -> 237 Job 4 Operation 0 on Machine 1 : 0 + 346 -> 346 Job 1 Operation 0 on Machine 2 : 0 + 185 -> 185 Job 8 Operation 0 on Machine 2 : 185 + 271 -> 456 Job 4 Operation 1 on Machine 0 : 346 + 217 -> 563 Job 7 Operation 0 on Machine 1 : 346 + 264 -> 610 Jo...
10 3 0 237 1 324 2 325 2 185 1 257 0 3 2 253 0 97 1 211 2 282 1 205 0 185 1 346 0 217 2 261 2 263 0 229 1 189 2 189 0 292 1 310 1 264 2 73 0 294 2 271 1 169 0 369 1 248 0 3 2 61
10x3
39,790
End of preview. Expand in Data Studio
README.md exists but content is empty.
Downloads last month
34