Delete loading script

hansard_speech.py

@@ -1,161 +0,0 @@
-# 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.
-"""
-A dataset containing every speech in the House of Commons from May 1979-July 2020.
-"""
-
-import json
-import os
-import time
-import pandas as pd
-from datetime import datetime
-import datasets
-
-_CITATION = """@misc{odell, evan_2021, 
-title={Hansard Speeches 1979-2021: Version 3.1.0}, 
-DOI={10.5281/zenodo.4843485}, 
-abstractNote={<p>Full details are available at <a href="https://evanodell.com/projects/datasets/hansard-data">https://evanodell.com/projects/datasets/hansard-data</a></p> <p><strong>Version 3.1.0 contains the following changes:</strong></p> <p>- Coverage up to the end of April 2021</p>}, 
-note={This release is an update of previously released datasets. See full documentation for details.}, 
-publisher={Zenodo}, 
-author={Odell, Evan}, 
-year={2021}, 
-month={May} }
-"""
-
-_DESCRIPTION = """
-A dataset containing every speech in the House of Commons from May 1979-July 2020.
-"""
-
-_HOMEPAGE = "https://evanodell.com/projects/datasets/hansard-data/"
-
-_LICENSE = "Creative Commons Attribution 4.0 International License"
-
-_URLS = {
-    "csv": "https://zenodo.org/record/4843485/files/hansard-speeches-v310.csv.zip?download=1",
-    "json": "https://zenodo.org/record/4843485/files/parliamentary_posts.json?download=1",
-}
-
-fields = [
-    "id",
-    "speech",
-    "display_as",
-    "party",
-    "constituency",
-    "mnis_id",
-    "date",
-    "time",
-    "colnum",
-    "speech_class",
-    "major_heading",
-    "minor_heading",
-    "oral_heading",
-    "year",
-    "hansard_membership_id",
-    "speakerid",
-    "person_id",
-    "speakername",
-    "url",
-    "parliamentary_posts",
-    "opposition_posts",
-    "government_posts",
-]
-
-logger = datasets.utils.logging.get_logger(__name__)
-
-
-class HansardSpeech(datasets.GeneratorBasedBuilder):
-    """A dataset containing every speech in the House of Commons from May 1979-July 2020."""
-
-    VERSION = datasets.Version("3.1.0")
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "id": datasets.Value("string"),
-                "speech": datasets.Value("string"),
-                "display_as": datasets.Value("string"),
-                "party": datasets.Value("string"),
-                "constituency": datasets.Value("string"),
-                "mnis_id": datasets.Value("string"),
-                "date": datasets.Value("string"),
-                "time": datasets.Value("string"),
-                "colnum": datasets.Value("string"),
-                "speech_class": datasets.Value("string"),
-                "major_heading": datasets.Value("string"),
-                "minor_heading": datasets.Value("string"),
-                "oral_heading": datasets.Value("string"),
-                "year": datasets.Value("string"),
-                "hansard_membership_id": datasets.Value("string"),
-                "speakerid": datasets.Value("string"),
-                "person_id": datasets.Value("string"),
-                "speakername": datasets.Value("string"),
-                "url": datasets.Value("string"),
-                "government_posts": datasets.Sequence(datasets.Value("string")),
-                "opposition_posts": datasets.Sequence(datasets.Value("string")),
-                "parliamentary_posts": datasets.Sequence(datasets.Value("string")),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        temp_dir = dl_manager.download_and_extract(_URLS["csv"])
-        csv_file = os.path.join(temp_dir, "hansard-speeches-v310.csv")
-        json_file = dl_manager.download(_URLS["json"])
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepaths": [csv_file, json_file], "split": "train",},
-            ),
-        ]
-
-    def _generate_examples(self, filepaths, split):
-        logger.warn("\nThis is a large dataset. Please be patient")
-        json_data = pd.read_json(filepaths[1])
-        csv_data_chunks = pd.read_csv(filepaths[0], chunksize=50000, dtype="object")
-        for data_chunk in csv_data_chunks:
-            data_chunk.fillna("", inplace=True)
-            for _, row in data_chunk.iterrows():
-                data_point = {}
-                for field in fields[:-3]:
-                    data_point[field] = str(row[field]) if row[field] else ""
-                parl_post_list = []
-                if data_point["mnis_id"] and data_point["date"]:
-                    speech_dt = data_point["date"] + " 00:00:00"
-                    try:
-                        parl_posts = json_data[
-                            (json_data["mnis_id"] == int(data_point["mnis_id"]))
-                            & (json_data["date"] == speech_dt)
-                        ]["parliamentary_posts"]
-                        if len(parl_posts) > 0:
-                            parl_posts = parl_posts.iloc[0]
-                            for item in parl_posts:
-                                parl_post_list.append(item["parl_post_name"])
-                    except Exception as e:
-                        logger.warn(
-                            f"Data could not be fetched for mnis_id: {data_point['mnis_id']}, date: {data_point['date']}\nError: {repr(e)}"
-                        )
-                opp_post = []
-                gov_post = []
-                data_point["government_posts"] = gov_post
-                data_point["opposition_posts"] = opp_post
-                data_point["parliamentary_posts"] = parl_post_list
-                yield data_point["id"], data_point
-