{
  "paper_title": "Accident Causal Identification and Location Extraction: Benchmark Dataset and Machine Learning Approaches with Explainability",
  "base_model": "xlm-roberta-base",
  "ner_model": "sagorsarker/mbert-bengali-ner",
  "max_length": 256,
  "task_a_file": "Task_A.h5",
  "task_b_file": "Task_B.h5",
  "task_a_labels": {
    "0": "Non-Accidental",
    "1": "Accidental"
  },
  "task_b_labels": {
    "0": "TRAFFIC",
    "1": "COLLAPSE of OBJECT",
    "2": "DROWN",
    "3": "TRAIN ACCIDENT",
    "4": "FIRES and/or EXPLOSION",
    "5": "ELECTROCUTION",
    "6": "INTENTIONAL",
    "7": "NATURAL DISASTER",
    "8": "STRUCK by FALLING OBJECT",
    "9": "OTHERS"
  }
}