| from utils import write_jsonl_file, read_csv_file, parse |
| import os |
| import pandas as pd |
|
|
| |
|
|
| LIST_OF_FILES = ( |
| "alarm_query.csv\nalarm_remove.csv\nalarm_set.csv\naudio_volum" |
| "e_down.csv\naudio_volume_mute.csv\naudio_volume_up.csv\ncalend" |
| "ar_query.csv\t\ncalendar_remove.csv\t\ncalendar_set.csv\t\ncoo" |
| "king_recipe.csv\t\ndatetime_convert.csv\t\ndatetime_query.csv" |
| "\t\nemail_addcontact.csv\t\nemail_query.csv\t\nemail_querycon" |
| "tact.csv\t\nemail_sendemail.csv\t\ngeneral_affirm.csv\t\ngener" |
| "al_commandstop.csv\t\ngeneral_confirm.csv\t\ngeneral_dontcare." |
| "csv\t\ngeneral_explain.csv\t\ngeneral_joke.csv\t\ngeneral_neg" |
| "ate.csv\t\ngeneral_praise.csv\t\ngeneral_quirky.csv\t\ngenera" |
| "l_repeat.csv\t\niot_cleaning.csv\t\niot_coffee.csv\t\niot_hue" |
| "_lightchange.csv\t\niot_hue_lightdim.csv\t\niot_hue_lightoff." |
| "csv\t\niot_hue_lighton.csv\t\niot_hue_lightup.csv\t\niot_wemo_" |
| "off.csv\t\niot_wemo_on.csv\t\nlists_createoradd.csv\t\nlists_" |
| "query.csv\t\nlists_remove.csv\t\nmusic_likeness.csv\t\nmusic_q" |
| "uery.csv\t\nmusic_settings.csv\t\nnews_query.csv\t\nplay_audio" |
| "book.csv\t\nplay_game.csv\t\nplay_music.csv\t\nplay_podcasts." |
| "csv\t\nplay_radio.csv\t\nqa_currency.csv\t\nqa_definition.csv" |
| "\t\nqa_factoid.csv\t\nqa_maths.csv\t\nqa_stock.csv\t\nrecomme" |
| "ndation_events.csv\t\nrecommendation_locations.csv\t\nrecomme" |
| "ndation_movies.csv\t\nsocial_post.csv\t\nsocial_query.csv\t\n" |
| "takeaway_order.csv\t\ntakeaway_query.csv\t\ntransport_query.c" |
| "sv\t\ntransport_taxi.csv\t\ntransport_ticket.csv\t\ntransport" |
| "_traffic.csv\t\nweather_query.csv\t".split() |
| ) |
|
|
|
|
| def reformat(args, split): |
| if split == "train": |
| input_dir = os.path.join(args.input_dir, "trainset") |
| else: |
| input_dir = os.path.join(args.input_dir, "testset", "csv") |
|
|
| dialogues = [] |
| for filename in LIST_OF_FILES: |
| data = pd.read_csv(os.path.join(input_dir, filename), sep=";") |
| for i in range(len(data)): |
| utterance = data.iloc[i]["answer_from_anno"] |
| domain = data.iloc[i]["scenario"] |
| intent = data.iloc[i]["intent"] |
|
|
| dialogues.append( |
| { |
| "turn": "single", |
| "locale": "en", |
| "domain": domain, |
| "dialog": [ |
| { |
| "roles": ["USER"], |
| "utterance": utterance, |
| "active_intents": [f"{domain} {intent}"], |
| } |
| ], |
| } |
| ) |
|
|
| write_jsonl_file(dialogues, os.path.join(args.output_dir, f"{split}.jsonl")) |
|
|
|
|
| def preprocess(args): |
| reformat(args, "train") |
| reformat(args, "test") |
|
|
|
|
| if __name__ == "__main__": |
| args = parse() |
| preprocess(args) |
|
|
