| from utils import read_json_file, parse, write_jsonl_file |
| import os |
|
|
|
|
| def readfile(input_dir): |
| path = os.path.join(input_dir, "CamRest676_annotated.json") |
| data = read_json_file(path) |
| return data |
|
|
|
|
| def build_usr_turn(usr): |
| turn = {"roles": ["USER"], "utterance": usr["transcript"], "belief_state": []} |
|
|
| act2svp = dict() |
| for da in usr["slu"]: |
| act = da["act"] |
| if act not in act2svp: |
| act2svp[act] = [] |
|
|
| for slot, value in da["slots"]: |
| act2svp[act].append((slot, value)) |
|
|
| for act in act2svp: |
| if act != "request": |
| svt = [] |
| for slot, value in act2svp[act]: |
| svt.append( |
| {"slot": slot, "values": [{"value": value}], "relation": "="} |
| ) |
| state = { |
| "intent": act, |
| "informed_slot_value_table": svt, |
| "domain": "restaurant", |
| } |
| else: |
| state = { |
| "intent": act, |
| "requested_slots": list(map(lambda x: x[1], act2svp[act])), |
| "domain": "restaurant", |
| } |
| turn["belief_state"].append(state) |
| |
| turn["rewritten"] = usr["transcript_complete"] |
| return turn |
|
|
|
|
| def build_sys_turn(sys): |
| turn = {"roles": ["SYSTEM"], "utterance": sys["sent"], "dialog_acts": []} |
|
|
| svt = [] |
| for act in sys["DA"]: |
| svt.append({"slot": act}) |
| turn["dialog_acts"].append({"act": "REQUEST", "slot_value_table": svt}) |
| return turn |
|
|
|
|
| def preprocess(args): |
| origin_data = readfile(args.input_dir) |
|
|
| data = [] |
| for dial in origin_data: |
| dial = dial["dial"] |
|
|
| parsed_dial = { |
| "turn": "multi", |
| "domain": ["restaurant"], |
| "locale": "en", |
| "dialog": [], |
| } |
| for origin_turn in dial: |
| usr = origin_turn["usr"] |
| sys = origin_turn["sys"] |
|
|
| parsed_dial["dialog"].append(build_usr_turn(usr)) |
| parsed_dial["dialog"].append(build_sys_turn(sys)) |
|
|
| data.append(parsed_dial) |
|
|
| |
| total = len(data) |
| train_num = total * 3 // 5 |
| dev_num = total * 1 // 5 |
|
|
| train_data = data[:train_num] |
| dev_data = data[train_num : train_num + dev_num] |
| test_data = data[train_num : train_num + dev_num :] |
|
|
| write_jsonl_file(train_data, os.path.join(args.output_dir, "train.jsonl")) |
| write_jsonl_file(dev_data, os.path.join(args.output_dir, "dev.jsonl")) |
| write_jsonl_file(test_data, os.path.join(args.output_dir, "test.jsonl")) |
|
|
|
|
| if __name__ == "__main__": |
| args = parse() |
| preprocess(args) |
|
|
