import json import os from pypinyin import pinyin, lazy_pinyin import random from clean_diag import * def get_concat_diags(root="diags_raw"): diags = [] for file in os.listdir(root): if file.endswith(".json"): for item in json.load(open(os.path.join(root, file), encoding='utf-8')): diags.append({"id": "episode_{}_chunk_{}".format(item['episode_idx'], item['chunk_idx']), "conversations": item['diag']}) print(f"[Whole diags length]: {len(diags)}") return diags def get_role_list(diags): role_dict = {} for diag in diags: for conv in diag['conversations']: role = conv['from'] if role not in role_dict: role_dict[role] = 1 else: role_dict[role] += 1 # filter out roles whose conversation is less than 5 role_list = [] for role in role_dict: if role_dict[role] >= 50: role_list.append(role) role_pinyin = {role: "".join(lazy_pinyin(role)) for role in role_list} return role_pinyin def extract_conversations_between_two_role(conversations, role1, role2): def maybe_append_conversation(conv, role1, role2): roles = set([item['from'] for item in conv]) if role1 in roles and role2 in roles and len(roles) == 2: return True return False new_conversations = [] start_flag = False start_idx = 0 end_idx = 0 for i, conversation in enumerate(conversations): if not start_flag and (conversation['from'] == role1 or conversation['from'] == role2): start_flag = True start_idx = i end_idx = i continue if start_flag: if conversation['from'] == role1 or conversation['from'] == role2: end_idx = i continue elif maybe_append_conversation(conversations[start_idx:end_idx+1], role1, role2): c = conversations[start_idx:end_idx+1] new_conversations.append(c) start_flag = False return new_conversations def extract_diag_between_two_role(diags, role1, role2): new_diags = [] for item in diags: new_conversations = extract_conversations_between_two_role(item['conversations'], role1, role2) if len(new_conversations) > 0: for i, conversation in enumerate(new_conversations): new_diags.append({"id": "{}_index_{}".format(item["id"], i), "conversations": conversation}) return new_diags def split_train_and_dev(data, prob=0.8): random.shuffle(data) index = max(int(len(data)*prob), 1) train_data = data[:index] dev_data = data[index:] return train_data, dev_data def split_diag(data, max_length=2048): new_data = [] for item in data: id = item["id"] conversations = item['conversations'] count_len = [0 for _ in range(len(conversations) + 1)] # [0, len(1st conv), len(1st + 2nd conv), ...] count = 0 # the number of final parts conversations = remove_blank_value_for_conv(conversations) for i, conv in enumerate(conversations): if i == 0: count_len[i + 1] = len("{}\n{}".format(conv['from'], conv['value'])) continue count_len[i + 1] = count_len[i] + len("{}\n{}".format(conv['from'], conv['value'])) flag = False for start_id in range(0, i + 1): if count_len[i + 1] - count_len[start_id] < max_length: flag = True break if flag: new_conv = conversations[start_id:i + 1] new_id = id + f"_part{count}" count += 1 new_data.append({"id": new_id, "conversations": new_conv}) return new_data def extract_diag_for_target_from_role_conv(diags, role_pair_id, target_role, target_role_pinyin, input_role, input_role_pinyin): new_diags = [] for item in diags: if item['conversations'][-1]['from'] == target_role: new_diags.append(item) item['target_role'] = target_role item['target_role_short'] = target_role_pinyin item['input_role'] = input_role item['input_role_short'] = input_role_pinyin item['role_pair_id'] = role_pair_id[target_role][input_role] return new_diags if __name__ == "__main__": # Step2-0: concat all diags diags = json.load(open("myownswordsman_diags.json", encoding='utf-8')) diags = clean_diag(diags) # Step2-1: get filtered role list and its pinyin role_pinyin = get_role_list(diags) role1 = "吕秀才" role1_pinyin = role_pinyin[role1] role_pinyin.pop(role1) print(f"[Role list length]: {len(role_pinyin)}") os.makedirs("diags_two_role_lvxiucai/configs", exist_ok=True) json.dump(role_pinyin, open("diags_two_role_lvxiucai/configs/role_list.json", 'w', encoding='utf-8'), ensure_ascii=False, indent=4) # Step2-2 ~ 4 removed_role = [] for role2 in role_pinyin: # Step 2-2: extract diag between two role role2_pinyin = role_pinyin[role2] new_diags = extract_diag_between_two_role(diags, role1, role2) new_diags = clean_diag(new_diags) if len(new_diags) < 20: removed_role.append(role2) continue output_dir = f'diags_two_role_lvxiucai/{role1_pinyin}_{role2_pinyin}' os.makedirs(output_dir, exist_ok=True) json.dump(new_diags, open(os.path.join(output_dir, f'myownswordsman_diags_{role1_pinyin}_{role2_pinyin}.json'), 'w', encoding='utf-8'), ensure_ascii=False, indent=4) print(f"[Diags between {output_dir}]:", len(new_diags)) # Step 2-3: split training set and validation set train_data, dev_data = split_train_and_dev(new_diags, prob=0.8) json.dump(train_data, open(os.path.join(output_dir, f'myownswordsman_diags_{role1_pinyin}_{role2_pinyin}_train.json'), "w", encoding="utf-8"), ensure_ascii=False, indent=4) json.dump(dev_data, open(os.path.join(output_dir, f'myownswordsman_diags_{role1_pinyin}_{role2_pinyin}_dev.json'), "w", encoding="utf-8"), ensure_ascii=False, indent=4) print("[Split train and dev] {} - {}: {}".format(role1, role2, len(new_diags)), '->', len(train_data), len(dev_data)) # Step 2-4: split diags with sliding window new_train_data = split_diag(train_data, max_length=512) new_train_data = clean_diag_with_repeated(new_train_data) new_dev_data = split_diag(dev_data, max_length=512) new_dev_data = clean_diag_with_repeated(new_dev_data) json.dump(new_train_data, open(os.path.join(output_dir, f"myownswordsman_diags_{role1_pinyin}_{role2_pinyin}_L512_train.json"), "w", encoding='utf-8'), ensure_ascii=False, indent=4) json.dump(new_dev_data, open(os.path.join(output_dir, f"myownswordsman_diags_{role1_pinyin}_{role2_pinyin}_L512_dev.json"), "w", encoding='utf-8'), ensure_ascii=False, indent=4) print("[Split diag with sliding window] {}, {}".format(len(new_train_data), len(new_dev_data))) for role in removed_role: role_pinyin.pop(role) # Step 2-5: extract diag for target role role_pair_id = {role1: {role2: i+1 for i, role2 in enumerate(role_pinyin)}} json.dump(role_pair_id, open("diags_two_role_lvxiucai/configs/role_pair_id.json", 'w', encoding='utf-8'), ensure_ascii=False, indent=4) for role2 in role_pinyin: role2_pinyin = role_pinyin[role2] input_dir = f'diags_two_role_lvxiucai/{role1_pinyin}_{role2_pinyin}' input_file = f"myownswordsman_diags_{role1_pinyin}_{role2_pinyin}_L512_train.json" output_file = f"myownswordsman_diags_{role1_pinyin}_{role2_pinyin}_{role1_pinyin}_response_L512_train.json" diags = json.load(open(os.path.join(input_dir, input_file), encoding='utf-8')) new_diags = extract_diag_for_target_from_role_conv(diags, role_pair_id, role1, role1_pinyin, role2, role2_pinyin) new_diags = clean_diag(new_diags) new_diags = remove_diags_without_target_role_and_input_role(new_diags) json.dump(new_diags, open(os.path.join(input_dir, output_file), 'w', encoding='utf-8'), ensure_ascii=False, indent=4) input_file = f"myownswordsman_diags_{role1_pinyin}_{role2_pinyin}_L512_dev.json" output_file = f"myownswordsman_diags_{role1_pinyin}_{role2_pinyin}_{role1_pinyin}_response_L512_dev.json" diags = json.load(open(os.path.join(input_dir, input_file), encoding='utf-8')) new_diags = extract_diag_for_target_from_role_conv(diags, role_pair_id, role1, role1_pinyin, role2, role2_pinyin) new_diags = clean_diag_with_repeated(new_diags) new_diags = remove_diags_without_target_role_and_input_role(new_diags) json.dump(new_diags, open(os.path.join(input_dir, output_file), 'w', encoding='utf-8'), ensure_ascii=False, indent=4)