Download database.py from ConvLab/camrest: direct link, hf CLI and curl.
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- Download file 3.02 kB
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https://huggingface.co/datasets/ConvLab/camrest/resolve/main/database.py
- Command line
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hf download hf://datasets/ConvLab/camrest/database.py
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curl -L -o database.py https://huggingface.co/datasets/ConvLab/camrest/resolve/main/database.py
3.02 kB
| import json | |
| import os | |
| import random | |
| from fuzzywuzzy import fuzz | |
| from itertools import chain | |
| from zipfile import ZipFile | |
| from copy import deepcopy | |
| from convlab.util.unified_datasets_util import BaseDatabase, download_unified_datasets | |
| class Database(BaseDatabase): | |
| def __init__(self): | |
| """extract data.zip and load the database.""" | |
| data_path = download_unified_datasets('camrest', 'data.zip', os.path.dirname(os.path.abspath(__file__))) | |
| archive = ZipFile(data_path) | |
| self.dbs = {} | |
| with archive.open('data/CamRestDB.json') as f: | |
| self.dbs['restaurant'] = json.loads(f.read()) | |
| self.slot2dbattr = { | |
| 'price range': 'pricerange', | |
| } | |
| def query(self, domain: str, state: dict, topk: int, ignore_open=False, soft_contraints=(), fuzzy_match_ratio=60) -> list: | |
| """return a list of topk entities (dict containing slot-value pairs) for a given domain based on the dialogue state.""" | |
| # query the db | |
| assert domain == 'restaurant' | |
| state = list(map(lambda ele: (self.slot2dbattr.get(ele[0], ele[0]), ele[1]) if not(ele[0] == 'area' and ele[1] == 'center') else ('area', 'centre'), state)) | |
| found = [] | |
| for i, record in enumerate(self.dbs[domain]): | |
| constraints_iterator = zip(state, [False] * len(state)) | |
| soft_contraints_iterator = zip(soft_contraints, [True] * len(soft_contraints)) | |
| for (key, val), fuzzy_match in chain(constraints_iterator, soft_contraints_iterator): | |
| if val in ["", "dont care", 'not mentioned', "don't care", "dontcare", "do n't care"]: | |
| pass | |
| else: | |
| try: | |
| if key not in record: | |
| continue | |
| if record[key].strip() == '?': | |
| # '?' matches any constraint | |
| continue | |
| else: | |
| if not fuzzy_match: | |
| if val.strip().lower() != record[key].strip().lower(): | |
| break | |
| else: | |
| if fuzz.partial_ratio(val.strip().lower(), record[key].strip().lower()) < fuzzy_match_ratio: | |
| break | |
| except: | |
| continue | |
| else: | |
| res = deepcopy(record) | |
| res['Ref'] = '{0:08d}'.format(i) | |
| found.append(res) | |
| if len(found) == topk: | |
| return found | |
| return found | |
| if __name__ == '__main__': | |
| db = Database() | |
| assert issubclass(Database, BaseDatabase) | |
| assert isinstance(db, BaseDatabase) | |
| res = db.query("restaurant", [['price range', 'expensive']], topk=3) | |
| print(res, len(res)) | |
| # print(db.query("hotel", [['price range', 'moderate'], ['stars','4'], ['type', 'guesthouse'], ['internet', 'yes'], ['parking', 'no'], ['area', 'east']])) | |