JSSP/README.md

REALM-Bench JSSP (clean)

Four JSON files only — one per tier — with all instances in a unified schema.

Files

File	Tier	Instances	Description
J1.json	J1	109	Static benchmarks (DMU, TA, ABZ, SWV, YN)
J2.json	J2	109	J1 + dynamic disruptions
J3.json	J3	100	Large-scale static (200×50)
J4.json	J4	100	Large-scale + disruptions

Top-level structure (each file)

{
  "tier": "J1",
  "format_version": "1.0",
  "description": "...",
  "objective": "minimize_makespan",
  "num_instances": 109,
  "instances": [ ... ]
}

Instance object (inside instances)

{
  "instance_id": "rcmax_50_20_9",
  "tier": "J1",
  "num_jobs": 50,
  "num_machines": 20,
  "jobs": [
    [
      {"operation": 1, "machine": 19, "processing_time": 64},
      {"operation": 2, "machine": 16, "processing_time": 34}
    ]
  ],
  "disruptions": [],
  "metadata": {
    "source_file": "DMU/rcmax_50_20_9.txt",
    "benchmark": "DMU",
    "objective": "minimize_makespan",
    "description": "JSSP Basic (Static)"
  }
}

• machine — 1-based machine ID
• disruptions — empty for J1/J3; events for J2/J4

Load in Python

import json

with open("datasets/clean/JSSP/J1.json") as f:
    data = json.load(f)

for inst in data["instances"]:
    print(inst["instance_id"], inst["num_jobs"], inst["num_machines"])

Rebuild

cd datasets && python3 build_jssp_dataset.py

Writes only clean/JSSP/J1.json … J4.json. Re-copy this README after rebuild if needed.

Hugging Face

Upload datasets/clean/JSSP/ to GloriaGeng/REALM-Bench on the Hugging Face Hub.