Update Yelpdata_663.py

Yelpdata_663.py

@@ -1,64 +1,3 @@
-# -*- coding: utf-8 -*-
-"""yelp_dataset.ipynb
-
-Automatically generated by Colaboratory.
-
-Original file is located at
-    https://colab.research.google.com/drive/14UtK4YCjMSx4cVbUb9NBRHviWZg07dtY
-"""
-
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# TODO: Address all TODOs and remove all explanatory comments
-"""TODO: Add a description here."""
-
-
-import csv
-import json
-import os
-from typing import List
-import datasets
-import logging
-import pandas as pd
-
-# TODO: Add BibTeX citation
-# Find for instance the citation on arxiv or on the dataset repo/website
-_CITATION = """\
-@InProceedings{huggingface:dataset,
-title = {A great new dataset},
-author={huggingface, Inc.
-},
-year={2020}
-}
-"""
-
-# TODO: Add description of the dataset here
-# You can copy an official description
-_DESCRIPTION = """\
-This dataset encompasses a wealth of information from the Yelp platform,
- detailing user reviews, business ratings, and operational specifics across a diverse array of local establishments.
-"""
-
-# TODO: Add a link to an official homepage for the dataset here
-_HOMEPAGE = "https://www.yelp.com/dataset/download"
-
-# TODO: Add the licence for the dataset here if you can find it
-_LICENSE = "https://s3-media0.fl.yelpcdn.com/assets/srv0/engineering_pages/f64cb2d3efcc/assets/vendor/Dataset_User_Agreement.pdf"
-
-# TODO: Add link to the official dataset URLs here
-# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
-# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
 import json
 import datasets
 
@@ -113,7 +52,11 @@ class YelpDataset(datasets.GeneratorBasedBuilder):
         
         # Load businesses and filter for restaurants
         with open(business_path, encoding="utf-8") as f:
-            businesses = {line['business_id']: line for line in (json.loads(line) for line in f) if "Restaurants" in line.get("categories", "")}
+            businesses = {}
+            for line in f:
+                business = json.loads(line)
+                if business.get("categories") and "Restaurants" in business["categories"]:
+                    businesses[business['business_id']] = business
         
         # Generate examples
         with open(review_path, encoding="utf-8") as f:
@@ -131,7 +74,3 @@ class YelpDataset(datasets.GeneratorBasedBuilder):
                         "text": review['text'],
                         "date": review['date'],
                     }
-
-
-    
-