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Datasets:
albones80
/
route-optimizer-scenarios

Modalities:
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Languages:
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Size:
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Tags:
mining
optimization
Synthetic
operations-research
fleet-dispatch
Libraries:
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pandas
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License:
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dispatch_cost_minutes
float64
-1
220
dispatch_optimal
bool
2 classes
dispatch_segments
int64
-1
8
dispatch_status
stringclasses
3 values
family
stringclasses
4 values
fleet_size
int64
2
21
id
stringlengths
8
14
n_arcs
int64
5
23
n_demands
int64
1
6
n_locations
int64
3
7
scenario_json
stringlengths
732
3.34k
seed
int64
0
1.02k
shift_length_hours
float64
1
12
shift_plan_proven_optimal
bool
2 classes
shift_plan_segments
int64
4
4
shift_plan_status
stringclasses
2 values
source
stringclasses
2 values
synthetic
bool
1 class
total_tons
float64
50
17.8k
truck_capacity_tons
float64
50
200
75
true
8
ok
canonical
2
tiny_feasible
5
1
3
{"arcs": [{"destination": "S", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "S", "travel_time_minutes": 15.0}, {"destination": "C", "source": "S", "travel_time_minutes": 15.0}, {"destination": "S", "source": "C", "travel_time_minutes": 15.0}, {"destination": "garage", "source": ...
0
1
true
4
Optimal
published_sample
true
100
100
-1
false
-1
not_evaluated
canonical
21
toy_mine
23
6
7
{"arcs": [{"destination": "L1", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "L2", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "L1", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "L2", "travel_time_minutes": 15.0}, {"destination": "garag...
0
12
false
4
Infeasible
published_sample
true
17,800
100
75
true
8
ok
shuttle
2
shuttle-001
6
1
3
{"arcs": [{"destination": "S", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "S", "travel_time_minutes": 15.0}, {"destination": "C", "source": "S", "travel_time_minutes": 15.0}, {"destination": "S", "source": "C", "travel_time_minutes": 15.0}, {"destination": "garage", "source": ...
1,000
1
true
4
Optimal
generated
true
100
100
90
true
8
ok
shuttle
2
shuttle-002
6
1
3
{"arcs": [{"destination": "S", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "S", "travel_time_minutes": 15.0}, {"destination": "C", "source": "S", "travel_time_minutes": 15.0}, {"destination": "S", "source": "C", "travel_time_minutes": 15.0}, {"destination": "garage", "source": ...
1,001
1
true
4
Optimal
generated
true
200
100
30
true
8
ok
shuttle
2
shuttle-003
6
1
3
{"arcs": [{"destination": "S", "source": "garage", "travel_time_minutes": 10.0}, {"destination": "garage", "source": "S", "travel_time_minutes": 10.0}, {"destination": "C", "source": "S", "travel_time_minutes": 10.0}, {"destination": "S", "source": "C", "travel_time_minutes": 10.0}, {"destination": "garage", "source": ...
1,002
1
true
4
Optimal
generated
true
50
50
90
true
8
ok
shuttle
3
shuttle-004
6
1
3
{"arcs": [{"destination": "S", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "S", "travel_time_minutes": 15.0}, {"destination": "C", "source": "S", "travel_time_minutes": 15.0}, {"destination": "S", "source": "C", "travel_time_minutes": 15.0}, {"destination": "garage", "source": ...
1,003
2
true
4
Optimal
generated
true
200
100
120
true
8
ok
shuttle
4
shuttle-005
6
1
3
{"arcs": [{"destination": "S", "source": "garage", "travel_time_minutes": 20.0}, {"destination": "garage", "source": "S", "travel_time_minutes": 20.0}, {"destination": "C", "source": "S", "travel_time_minutes": 20.0}, {"destination": "S", "source": "C", "travel_time_minutes": 20.0}, {"destination": "garage", "source": ...
1,004
2
true
4
Optimal
generated
true
300
150
120
true
8
ok
shuttle
4
shuttle-006
6
1
3
{"arcs": [{"destination": "S", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "S", "travel_time_minutes": 15.0}, {"destination": "C", "source": "S", "travel_time_minutes": 15.0}, {"destination": "S", "source": "C", "travel_time_minutes": 15.0}, {"destination": "garage", "source": ...
1,005
4
true
4
Optimal
generated
true
400
100
-1
false
-1
not_evaluated
shuttle
6
shuttle-007
6
1
3
{"arcs": [{"destination": "S", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "S", "travel_time_minutes": 15.0}, {"destination": "C", "source": "S", "travel_time_minutes": 15.0}, {"destination": "S", "source": "C", "travel_time_minutes": 15.0}, {"destination": "garage", "source": ...
1,006
4
true
4
Optimal
generated
true
600
100
-1
false
8
exhausted
shuttle
2
shuttle-008
6
1
3
{"arcs": [{"destination": "S", "source": "garage", "travel_time_minutes": 30.0}, {"destination": "garage", "source": "S", "travel_time_minutes": 30.0}, {"destination": "C", "source": "S", "travel_time_minutes": 30.0}, {"destination": "S", "source": "C", "travel_time_minutes": 30.0}, {"destination": "garage", "source": ...
1,007
1
false
4
Infeasible
generated
true
500
100
90
true
8
ok
two_shovel
2
two_shovel-001
10
2
4
{"arcs": [{"destination": "S1", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "S1", "travel_time_minutes": 15.0}, {"destination": "C", "source": "S1", "travel_time_minutes": 15.0}, {"destination": "S1", "source": "C", "travel_time_minutes": 15.0}, {"destination": "S2", "source": ...
1,008
2
false
4
Infeasible
generated
true
150
100
135
true
8
ok
two_shovel
3
two_shovel-002
10
2
4
{"arcs": [{"destination": "S1", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "S1", "travel_time_minutes": 15.0}, {"destination": "C", "source": "S1", "travel_time_minutes": 15.0}, {"destination": "S1", "source": "C", "travel_time_minutes": 15.0}, {"destination": "S2", "source": ...
1,009
2
false
4
Infeasible
generated
true
225
100
220
true
8
ok
two_shovel
4
two_shovel-003
10
2
4
{"arcs": [{"destination": "S1", "source": "garage", "travel_time_minutes": 20.0}, {"destination": "garage", "source": "S1", "travel_time_minutes": 20.0}, {"destination": "C", "source": "S1", "travel_time_minutes": 20.0}, {"destination": "S1", "source": "C", "travel_time_minutes": 20.0}, {"destination": "S2", "source": ...
1,010
4
true
4
Optimal
generated
true
300
100
165
true
8
ok
two_shovel
4
two_shovel-004
10
2
4
{"arcs": [{"destination": "S1", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "S1", "travel_time_minutes": 15.0}, {"destination": "C", "source": "S1", "travel_time_minutes": 15.0}, {"destination": "S1", "source": "C", "travel_time_minutes": 15.0}, {"destination": "S2", "source": ...
1,011
4
true
4
Optimal
generated
true
600
200
-1
false
-1
not_evaluated
two_shovel
6
two_shovel-005
10
2
4
{"arcs": [{"destination": "S1", "source": "garage", "travel_time_minutes": 10.0}, {"destination": "garage", "source": "S1", "travel_time_minutes": 10.0}, {"destination": "C", "source": "S1", "travel_time_minutes": 10.0}, {"destination": "S1", "source": "C", "travel_time_minutes": 10.0}, {"destination": "S2", "source": ...
1,012
4
true
4
Optimal
generated
true
450
100
-1
false
-1
not_evaluated
two_shovel
8
two_shovel-006
10
2
4
{"arcs": [{"destination": "S1", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "S1", "travel_time_minutes": 15.0}, {"destination": "C", "source": "S1", "travel_time_minutes": 15.0}, {"destination": "S1", "source": "C", "travel_time_minutes": 15.0}, {"destination": "S2", "source": ...
1,013
8
true
4
Optimal
generated
true
600
100
93.75
true
8
ok
ore_waste
2
ore_waste-001
10
2
4
{"arcs": [{"destination": "S", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "S", "travel_time_minutes": 15.0}, {"destination": "C", "source": "S", "travel_time_minutes": 15.0}, {"destination": "S", "source": "C", "travel_time_minutes": 15.0}, {"destination": "W", "source": "S", ...
1,014
2
false
4
Infeasible
generated
true
140
100
112.5
true
8
ok
ore_waste
3
ore_waste-002
10
2
4
{"arcs": [{"destination": "S", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "S", "travel_time_minutes": 15.0}, {"destination": "C", "source": "S", "travel_time_minutes": 15.0}, {"destination": "S", "source": "C", "travel_time_minutes": 15.0}, {"destination": "W", "source": "S", ...
1,015
2
false
4
Infeasible
generated
true
210
100
150
true
8
ok
ore_waste
4
ore_waste-003
10
2
4
{"arcs": [{"destination": "S", "source": "garage", "travel_time_minutes": 20.0}, {"destination": "garage", "source": "S", "travel_time_minutes": 20.0}, {"destination": "C", "source": "S", "travel_time_minutes": 20.0}, {"destination": "S", "source": "C", "travel_time_minutes": 20.0}, {"destination": "W", "source": "S", ...
1,016
4
true
4
Optimal
generated
true
280
100
112.5
true
8
ok
ore_waste
4
ore_waste-004
10
2
4
{"arcs": [{"destination": "S", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "S", "travel_time_minutes": 15.0}, {"destination": "C", "source": "S", "travel_time_minutes": 15.0}, {"destination": "S", "source": "C", "travel_time_minutes": 15.0}, {"destination": "W", "source": "S", ...
1,017
4
true
4
Optimal
generated
true
420
150
-1
false
-1
not_evaluated
ore_waste
6
ore_waste-005
10
2
4
{"arcs": [{"destination": "S", "source": "garage", "travel_time_minutes": 15.0}, {"destination": "garage", "source": "S", "travel_time_minutes": 15.0}, {"destination": "C", "source": "S", "travel_time_minutes": 15.0}, {"destination": "S", "source": "C", "travel_time_minutes": 15.0}, {"destination": "W", "source": "S", ...
1,018
8
true
4
Optimal
generated
true
560
100
-1
false
8
exhausted
ore_waste
2
ore_waste-006
10
2
4
{"arcs": [{"destination": "S", "source": "garage", "travel_time_minutes": 30.0}, {"destination": "garage", "source": "S", "travel_time_minutes": 30.0}, {"destination": "C", "source": "S", "travel_time_minutes": 30.0}, {"destination": "S", "source": "C", "travel_time_minutes": 30.0}, {"destination": "W", "source": "S", ...
1,019
1
false
4
Infeasible
generated
true
560
100

RouteOptimizer synthetic mine scenarios

Synthetic mine scenario files for RouteOptimizer, an operations-research solver (A* dispatch and MILP shift plans). Not a machine-learning dataset and not real haul history. There are no trained weights.

Each row is one format-version-1 scenario plus a short solver probe so you can filter easy vs. hard cases.

Rights: Alfonso Bonillas / alioit.com. License: MIT.

What is in the box

Piece Contents
data/scenarios.jsonl One row per scenario (table columns + scenario_json)
scenarios/ The same scenarios as standalone JSON files
tiny_feasible, toy_mine The published samples from the solver repo
shuttle-*, two_shovel-*, ore_waste-* Generated synthetic mines

Families:

  • shuttle — garage, one shovel, one crusher
  • two_shovel — two shovels feeding one crusher
  • ore_waste — one shovel, ore to a crusher and waste to a dump
  • canonical — tiny_feasible and toy_mine copied from the solver repository

A haul-history sample is not included. It will be published only after the data owner approves release.

Solver labels

Labels are probes, not a promise about every horizon:

Column Meaning
shift_plan_status PuLP/CBC status on a 4-segment horizon (time_limit 8s)
shift_plan_proven_optimal CBC proved optimality on that probe
dispatch_status A* result on 8 segments with a 5s cap, or not_evaluated when the fleet or tonnage is larger
dispatch_optimal A* finished and reported an optimal dispatch on that probe
total_tons Sum of demand tons
scenario_json Full scenario file (format version "1")

Units: tons, hours, minutes. Field definitions: scenario format.

Load it 

from datasets import load_dataset
import json

ds = load_dataset("albones80/route-optimizer-scenarios", split="train")
scenario = json.loads(ds[0]["scenario_json"])

Or download one file and run the solver:

route-optimizer dispatch scenarios/shuttle-001.json -o out/dispatch.json --segments 8 --trucks 2
route-optimizer shift-plan scenarios/shuttle-001.json -o out/shift_plan.json --segments 4

Install the solver from albones80/route-optimizer or GitHub.

Regenerate

From the RouteOptimizer repo (same seeds every time):

python scripts/generate_synthetic_scenarios.py

Links

Resource URL
Solver (Hub) https://huggingface.co/albones80/route-optimizer
Source https://github.com/AlfonsoALIO/RouteOptimizer
License MIT
Downloads last month
86
Number of rows:
22
Total file size:
84.5 kB

Models trained or fine-tuned on albones80/route-optimizer-scenarios

Space using albones80/route-optimizer-scenarios 1