python main.py --domain DOMAIN --method METHOD --task TASK_ID

bash run.sh DOMAIN METHOD TASK_ID

llm-pddl
 └─main.py                         (the main python script)
 └─keys
    └─ openai_keys.txt             (you should place your openai keys here, one line each)
 └─domains                         (the generated domain files)
    └─ barman
        └─ description_geneator.py (generating natural language description)
        └─ p_example.nl            (example natural language)
        └─ p_example.pddl          (example problem pddl file)
        └─ domain.pddl             (the shared domain.pddl file for all problems)
        └─ xxx.nl                  (task natural language description)
        └─ xxx.pddl                (ground-truth problem pddl, might not be used)
    └─ blocksworld
    └─ floortile
    └─ grippers
    └─ storage
    └─ termes
    └─ tyreworld
 └─problems                        (the generated problem pddl files)
    └─ llm                         (empty, since llm -> plan does not generate pddl)
    └─ llm_ic                      (empty, since llm + context -> plan does not generate pddl)    
    └─ llm_pddl                    (baseline 2: llm -> p.pddl)
    └─ llm_ic_pddl                 (ours: llm + context -> p.pddl)
        └─ barman
        └─ ...
 └─plans                           (the tmp folder for storing raw solutions found by fast-downward)
    └─ llm                         (empty, since llm -> plan does not generate raw plans)
    └─ llm_ic                      (empty, since llm + context -> plan does not generate raw plans)
    └─ llm_pddl                    (baseline 2: llm -> p.pddl)
    └─ llm_ic_pddl                 (ours: llm + context -> p.pddl)
        └─ barman
        └─ ...
 └─results                         (the final plan in natural language)
    └─ llm                         (baseline 1: llm -> plan)
    └─ llm_ic                      (baseline 3: llm + context -> plan)
    └─ llm_pddl                    (baseline 2: llm -> p.pddl)
    └─ llm_ic_pddl                 (ours: llm + context -> p.pddl)
        └─ barman
        └─ ...