{
  "title": "AI4I 2020 Predictive Maintenance Dataset",
  "creator": "Stephan Matzka (2020), via UCI Machine Learning Repository",
  "doi": "https://doi.org/10.24432/C5HS5C",
  "source": "https://archive.ics.uci.edu/dataset/601/ai4i+2020+predictive+maintenance+dataset",
  "license": "CC BY 4.0",
  "license_url": "https://creativecommons.org/licenses/by/4.0/",
  "source_sha256": "dc6630cd9b1f0f853922fad78a1b6436570d3f1ec863f1dd5c4340ac56bc8a8e",
  "source_is_synthetic": true,
  "split_seed": 6841,
  "rows": 10000,
  "failures": 339,
  "layout": [
    "id",
    "type_index_LMH",
    "air_temperature_k",
    "process_temperature_k",
    "rotational_speed_rpm",
    "torque_nm",
    "tool_wear_min",
    "machine_failure"
  ],
  "changes": "Compact numeric encoding; seeded stratified 60/20/20 split. Product identifiers and failure-subtype target columns excluded from predictors.",
  "limitations": "Random stratified benchmark, not a time-forward or real-machine evaluation. Generator and models use training records only; decision thresholds use validation records. Interactive test exploration is not independent final validation."
}