from zipfile import ZipFile, ZIP_DEFLATED import json import os from pprint import pprint from copy import deepcopy from collections import Counter from tqdm import tqdm from shutil import rmtree import re digit2word = { '0': 'zero', '1': 'one', '2': 'two', '3': 'three', '4': 'four', '5': 'five', '6': 'six', '7': 'seven', '8': 'eight', '9': 'nine', '10': 'ten' } match = { '0': 0, '1': 0, '>1': 0, } def pharse_in_sen(phrase, sen): ''' match value in the sentence :param phrase: str :param sen: str :return: start, end if matched, else None, None ''' assert isinstance(phrase, str) pw = '(^|[\s,\.:\?!-])(?P{})([\s,\.:\?!-]|$)' pn = '(^|[\s\?!-]|\D[,\.:])(?P{})($|[\s\?!-]|[,\.:]\D|[,\.:]$)' if phrase.isdigit(): pattern = pn else: pattern = pw p = re.compile(pattern.format(re.escape(phrase)), re.I) m = re.search(p, sen) if m: num = len(re.findall(p, sen)) if num > 1: match['>1'] += 1 else: match['1'] += 1 return m.span('v'), num if phrase.isdigit() and phrase in digit2word: phrase = digit2word[phrase] p = re.compile(pw.format(re.escape(phrase)), re.I) m = re.search(p, sen) if m: num = len(re.findall(p, sen)) if num > 1: match['>1'] += 1 else: match['1'] += 1 return m.span('v'), num match['0'] += 1 return (None, None), 0 def sys_intent(): """from original data README.md""" return { "inform": {"description": "Inform the value for a slot to the user."}, "request": {"description": "Request the value of a slot from the user."}, "confirm": {"description": "Confirm the value of a slot before making a transactional service call."}, "offer": {"description": "Offer a certain value for a slot to the user."}, "notify_success": {"description": "Inform the user that their request was successful."}, "notify_failure": {"description": "Inform the user that their request failed."}, "inform_count": {"description": "Inform the number of items found that satisfy the user's request."}, "offer_intent": {"description": "Offer a new intent to the user."}, "req_more": {"description": "Asking the user if they need anything else."}, "goodbye": {"description": "End the dialogue."}, } def usr_intent(): """from original data README.md""" return { "inform_intent": {"description": "Express the desire to perform a certain task to the system."}, "negate_intent": {"description": "Negate the intent which has been offered by the system."}, "affirm_intent": {"description": "Agree to the intent which has been offered by the system."}, "inform": {"description": "Inform the value of a slot to the system."}, "request": {"description": "Request the value of a slot from the system."}, "affirm": {"description": "Agree to the system's proposition. "}, "negate": {"description": "Deny the system's proposal."}, "select": {"description": "Select a result being offered by the system."}, "request_alts": {"description": "Ask for more results besides the ones offered by the system."}, "thank_you": {"description": "Thank the system."}, "goodbye": {"description": "End the dialogue."}, } def get_intent(): """merge sys & usr intent""" return { "inform": {"description": "Inform the value for a slot."}, "request": {"description": "Request the value of a slot."}, "confirm": {"description": "Confirm the value of a slot before making a transactional service call."}, "offer": {"description": "Offer a certain value for a slot to the user."}, "notify_success": {"description": "Inform the user that their request was successful."}, "notify_failure": {"description": "Inform the user that their request failed."}, "inform_count": {"description": "Inform the number of items found that satisfy the user's request."}, "offer_intent": {"description": "Offer a new intent to the user."}, "req_more": {"description": "Asking the user if they need anything else."}, "goodbye": {"description": "End the dialogue."}, "inform_intent": {"description": "Express the desire to perform a certain task to the system."}, "negate_intent": {"description": "Negate the intent which has been offered by the system."}, "affirm_intent": {"description": "Agree to the intent which has been offered by the system."}, "affirm": {"description": "Agree to the system's proposition. "}, "negate": {"description": "Deny the system's proposal."}, "select": {"description": "Select a result being offered by the system."}, "request_alts": {"description": "Ask for more results besides the ones offered by the system."}, "thank_you": {"description": "Thank the system."}, } def preprocess(): original_data_dir = 'dstc8-schema-guided-dialogue-master' new_data_dir = 'data' if not os.path.exists(original_data_dir): original_data_zip = 'dstc8-schema-guided-dialogue-master.zip' if not os.path.exists(original_data_zip): raise FileNotFoundError(f'cannot find original data {original_data_zip} in sgd/, should manually download dstc8-schema-guided-dialogue-master.zip from https://github.com/google-research-datasets/dstc8-schema-guided-dialogue') else: archive = ZipFile(original_data_zip) archive.extractall() os.makedirs(new_data_dir, exist_ok=True) dialogues = [] ontology = {'domains': {}, 'intents': get_intent(), 'state': {}, 'dialogue_acts': { "categorical": {}, "non-categorical": {}, "binary": {} }} splits = ['train', 'validation', 'test'] dataset_name = 'sgd' for data_split in splits: data_dir = os.path.join(original_data_dir, data_split if data_split != 'validation' else 'dev') # schema => ontology with open(os.path.join(data_dir, 'schema.json')) as f: data = json.load(f) for schema in data: domain = schema['service_name'] ontology['domains'].setdefault(domain, {}) ontology['domains'][domain]['description'] = schema['description'] ontology['domains'][domain].setdefault('slots', {}) ontology['domains'][domain]['active_intents'] = schema['intents'] ontology['state'].setdefault(domain, {}) for slot in schema['slots']: ontology['domains'][domain]['slots'][slot['name']] = { "description": slot['description'], "is_categorical": slot['is_categorical'], "possible_values": slot['possible_values'] } ontology['state'][domain][slot['name']] = '' # add 'count' slot ontology['domains'][domain]['slots']['count'] = { "description": "the number of items found that satisfy the user's request.", "is_categorical": False, "possible_values": [] } # dialog cnt = 0 for root, dirs, files in os.walk(data_dir): fs = sorted([x for x in files if 'dialogues' in x]) for f in tqdm(fs, desc='processing schema-guided-{}'.format(data_split)): data = json.load(open(os.path.join(data_dir, f))) for d in data: dialogue = { "dataset": dataset_name, "data_split": data_split, "dialogue_id": f'{dataset_name}-{data_split}-{cnt}', "original_id": d['dialogue_id'], "domains": d['services'], "goal": { # no goal 'description': '', 'inform': {}, 'request': {} }, "turns": [] } cnt += 1 prev_state = {} for domain in dialogue['domains']: prev_state.setdefault(domain, deepcopy(ontology['state'][domain])) for utt_idx, t in enumerate(d['turns']): speaker = t['speaker'].lower() turn = { 'speaker': speaker, 'utterance': t['utterance'], 'utt_idx': utt_idx, 'dialogue_acts': { 'binary': [], 'categorical': [], 'non-categorical': [], }, } for frame in t['frames']: domain = frame['service'] for action in frame['actions']: intent = action['act'].lower() # lowercase intent assert intent in ontology['intents'], [intent] slot = action['slot'] value_list = action['values'] if action['act'] in ['REQ_MORE', 'AFFIRM', 'NEGATE', 'THANK_YOU', 'GOODBYE']: # Slot and values are always empty assert slot == "" and len(value_list) == 0 turn['dialogue_acts']['binary'].append({ "intent": intent, "domain": '', "slot": '' }) elif action['act'] in ['NOTIFY_SUCCESS', 'NOTIFY_FAILURE', 'REQUEST_ALTS', 'AFFIRM_INTENT', 'NEGATE_INTENT']: # Slot and values are always empty assert slot == "" and len(value_list) == 0 turn['dialogue_acts']['binary'].append({ "intent": intent, "domain": domain, "slot": '' }) elif action['act'] in ['OFFER_INTENT', 'INFORM_INTENT']: # slot containing the intent being offered. assert slot == 'intent' and len(value_list) == 1 turn['dialogue_acts']['binary'].append({ "intent": intent, "domain": domain, "slot": value_list[0] }) elif action['act'] in ['REQUEST'] and len(value_list) == 0: # always contains a slot, but values are optional. assert slot in ontology['domains'][domain]['slots'], f'{domain}-{slot}' turn['dialogue_acts']['binary'].append({ "intent": intent, "domain": domain, "slot": slot }) elif action['act'] in ['SELECT'] and len(value_list) == 0: # (slot=='' and len(value_list) == 0) or (slot!='' and len(value_list) > 0) assert slot == '', f'{domain}-{slot}-{action}' turn['dialogue_acts']['binary'].append({ "intent": intent, "domain": domain, "slot": slot }) elif action['act'] in ['INFORM_COUNT']: # always has "count" as the slot, and a single element in values for the number of results obtained by the system. assert slot == 'count' and len(value_list) == 1 value = value_list[0] turn['dialogue_acts']['non-categorical'].append({ "intent": intent, "domain": domain, "slot": slot, "value": value, }) # find char span (start, end), num = pharse_in_sen(value, t['utterance']) assert num > 0, f'{value}-{t["utterance"]}' # {1:20086, 2:341, 3:19} assert value.lower() == t['utterance'][start:end].lower() \ or digit2word[value].lower() == t['utterance'][start:end].lower() # first match is always the choice turn['dialogue_acts']['non-categorical'][-1].update({ "value": t['utterance'][start:end], "start": start, "end": end }) else: # have slot & value if ontology['domains'][domain]['slots'][slot]['is_categorical']: possible_values = [value.lower() for value in ontology['domains'][domain]['slots'][slot]['possible_values']] for value in value_list: if value.lower() not in possible_values and value != 'dontcare': ontology['domains'][domain]['slots'][slot]['possible_values'].append(value) print(f'add value to ontology\t{domain}-{slot}-{value}', possible_values) turn['dialogue_acts']['categorical'].append({ "intent": intent, "domain": domain, "slot": slot, "value": value, }) else: # span info in frame['slots'] for value in value_list: for slot_info in frame['slots']: start = slot_info['start'] end = slot_info['exclusive_end'] if slot_info['slot'] == slot and t['utterance'][start:end].lower() == value.lower(): assert t['utterance'][start:end] == value, f'{action}-{slot_info}-{t["utterance"][start:end]}' turn['dialogue_acts']['non-categorical'].append({ "intent": intent, "domain": domain, "slot": slot, "value": value, "start": start, "end": end }) break else: assert value == 'dontcare', f'{action}-{slot_info}' if speaker == 'user': state = deepcopy(prev_state) active_intent = {} requested_slots = {} for frame in t['frames']: domain = frame['service'] active_intent[domain] = frame['state']['active_intent'] requested_slots[domain] = frame['state']['requested_slots'] for slot in state[domain]: if slot in frame['state']['slot_values']: value_list = frame['state']['slot_values'][slot] state[domain][slot] = value_list[0] for value in value_list[1:]: state[domain][slot] += '|' + value else: state[domain][slot] = '' prev_state = state turn['state'] = state turn['active_intent'] = active_intent turn['requested_slots'] = requested_slots else: # service_call and service_results turn['service_call'] = {} turn['db_results'] = {} for frame in t['frames']: if 'service_call' not in frame: continue domain = frame['service'] turn['service_call'][domain] = frame['service_call'] turn['db_results'][domain] = frame['service_results'] # add to dialogue_acts dictionary in the ontology for da_type in turn['dialogue_acts']: das = turn['dialogue_acts'][da_type] for da in das: ontology["dialogue_acts"][da_type].setdefault((da['intent'], da['domain'], da['slot']), {}) ontology["dialogue_acts"][da_type][(da['intent'], da['domain'], da['slot'])][speaker] = True dialogue['turns'].append(turn) dialogues.append(dialogue) for da_type in ontology['dialogue_acts']: ontology["dialogue_acts"][da_type] = sorted([str({'user': speakers.get('user', False), 'system': speakers.get('system', False), 'intent':da[0],'domain':da[1], 'slot':da[2]}) for da, speakers in ontology["dialogue_acts"][da_type].items()]) json.dump(dialogues[:10], open(f'dummy_data.json', 'w', encoding='utf-8'), indent=2, ensure_ascii=False) json.dump(ontology, open(f'{new_data_dir}/ontology.json', 'w', encoding='utf-8'), indent=2, ensure_ascii=False) json.dump(dialogues, open(f'{new_data_dir}/dialogues.json', 'w', encoding='utf-8'), indent=2, ensure_ascii=False) with ZipFile('data.zip', 'w', ZIP_DEFLATED) as zf: for filename in os.listdir(new_data_dir): zf.write(f'{new_data_dir}/{filename}') rmtree(original_data_dir) rmtree(new_data_dir) return dialogues, ontology if __name__ == '__main__': preprocess()