Delete housing_dataset.py

housing_dataset.py

@@ -1,163 +0,0 @@
-#
-# 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.
-# T0: Address all TODOs and remove all explanatory comments
-""" TO: Add a description here.
-"""
-
-
-import csv
-import json
-import os
-from typing import List
-import datasets
-import logging
-import pandas as pd
-import torch
-
-# 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 typical dataset contains all the building permits issued or in progress 
-within the city of Seattle starting from 1990 to recent, and this dataset is 
-still updating as time flows. Information includes permit records urls, 
-detailed address, and building costs etc.
-"""
-
-# TODO: Add a link to an official homepage for the dataset here
-_HOMEPAGE = "https://data.seattle.gov/Permitting/Building-Permits/76t5-zqzr/about_data"
-
-# TODO: Add the licence for the dataset here if you can find it
-_LICENSE = "	http://www.seattle.gov/sdci"
-
-# 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)
-_URL = "https://data.seattle.gov/Permitting/Building-Permits/76t5-zqzr/about_data"
-_URLS = {
-    "data": _URL
-}
-
-# TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
-class HousingDataset(datasets.GeneratorBasedBuilder):
-    """This dataset contains all building permits issued or in progress within 
-    the city of Seattle. It includes the original columns in the datasets, with
-    new added columns for corresponding neighborhood district and parking lot 
-    near by each housing."""
-
-    _URLS = _URLS
-    VERSION = datasets.Version("1.1.0")
-
-    def _info(self):
-      return datasets.DatasetInfo(
-          description=_DESCRIPTION,
-          features=datasets.Features(
-              {
-                  # columns from original dataset
-                  "permitnum": datasets.Value("string"),
-                  "permitclass": datasets.Value("string"),
-                  "permitclassmapped": datasets.Value("string"),
-                  "permittypemapped": datasets.Value("string"),
-                  "permittypedesc": datasets.Value("string"),
-                  "description": datasets.Value("string"),
-                  "housingunits": datasets.Value("int64"),
-                  "housingunitsremoved": datasets.Value("int64"),
-                  "housingunitsadded": datasets.Value("int64"),
-                  "estprojectcost": datasets.Value("float32"),
-                  "applieddate": datasets.Value("string"),
-                  "issueddate": datasets.Value("string"),
-                  "expiresdate": datasets.Value("string"),
-                  "completeddate": datasets.Value("string"),
-                  "statuscurrent": datasets.Value("string"),
-                  "relatedmup": datasets.Value("string"),
-                  "originaladdress1": datasets.Value("string"),
-                  "originalcity": datasets.Value("string"),
-                  "originalstate": datasets.Value("string"),
-                  "originalzip": datasets.Value("int64"),
-                  "contractorcompanyname": datasets.Value("string"),
-                  "link": datasets.Value("string"),
-                  "latitude": datasets.Value("float32"),
-                  "longitude": datasets.Value("float32"),
-                  "location1": datasets.Value("string"),
-                  # new added columns below
-                  "neighbordistrict": datasets.Value("string")
-              }
-          ),
-          # No default supervised_keys (as we have to pass both question
-          # and context as input).
-          supervised_keys=None,
-          homepage=_HOMEPAGE,
-          citation=_CITATION,
-      )
-
-    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-      urls = {
-          "housing_data" : "https://github.com/HathawayLiu/Housing_dataset/raw/main/Building_Permits_Cleaned.csv"
-      }
-      downloaded_files = dl_manager.download_and_extract(urls)
-
-      return [
-        datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs=downloaded_files)
-      ]
-
-    def _generate_examples(self, housing_data):
-        """This function returns the examples in the raw (text) form."""
-        housing_df = pd.read_csv(housing_data)
-
-        housing_df['EstProjectCost'] = housing_df["EstProjectCost"].replace('NA', 0)
-        housing_df.dropna(subset = ['Latitude'], inplace = True)
-        housing_df.dropna(subset = ['OriginalZip'], inplace = True)
-
-        housing_df['Latitude'] = housing_df['Latitude'].astype(float)
-        housing_df['Longitude'] = housing_df['Longitude'].astype(float)
-
-        # Iterating through each row to generate examples
-        for index, row in housing_df.iterrows():
-            yield index, {
-                "permitnum": row.get("PermitNum", ""),
-                "permitclass": row.get("PermitClass", ""),
-                "permitclassmapped": row.get("PermitClassMapped", ""),
-                "permittypemapped": row.get("PermitTypeMapped", ""),
-                "permittypedesc": row.get("PermitTypeDesc", ""),
-                "description": row.get("Description", ""),
-                "housingunits": int(row.get("HousingUnits", "")),
-                "housingunitsremoved": int(row.get("HousingUnitsRemoved", "")),
-                "housingunitsadded": int(row.get("HousingUnitsAdded", "")),
-                "estprojectcost": float(row.get("EstProjectCost", "")),
-                "applieddate": str(row.get("AppliedDate", "")),
-                "issueddate": str(row.get("IssuedDate", "")),
-                "expiresdate": str(row.get("ExpiresDate", "")),
-                "completeddate": str(row.get("CompletedDate", "")),
-                "statuscurrent": row.get("StatusCurrent", ""),
-                "relatedmup": row.get("RelatedMup", ""),
-                "originaladdress1": row.get("OriginalAddress1", ""),
-                "originalcity": row.get("OriginalCity", ""),
-                "originalstate": row.get("OriginalState", ""),
-                "originalzip": int(row.get("OriginalZip", "")),
-                "contractorcompanyname": row.get("ContractorCompanyName", ""),
-                "link": row.get("Link", ""),
-                "latitude": row["Latitude"],
-                "longitude": row["Longitude"],
-                "location1": str(row["Latitude"]) + ", " + str(row["Longitude"]),
-                "neighbordistrict": row.get("NeighborDistrict", "")
-            }