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  1. hansard_speech.py +0 -161
hansard_speech.py DELETED
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- # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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- #
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- # Licensed under the Apache License, Version 2.0 (the "License");
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- # you may not use this file except in compliance with the License.
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- # You may obtain a copy of the License at
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- #
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- # http://www.apache.org/licenses/LICENSE-2.0
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- #
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- # Unless required by applicable law or agreed to in writing, software
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- # distributed under the License is distributed on an "AS IS" BASIS,
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- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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- # See the License for the specific language governing permissions and
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- # limitations under the License.
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- """
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- A dataset containing every speech in the House of Commons from May 1979-July 2020.
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- """
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-
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- import json
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- import os
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- import time
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- import pandas as pd
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- from datetime import datetime
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- import datasets
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-
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- _CITATION = """@misc{odell, evan_2021,
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- title={Hansard Speeches 1979-2021: Version 3.1.0},
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- DOI={10.5281/zenodo.4843485},
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- 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>},
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- note={This release is an update of previously released datasets. See full documentation for details.},
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- publisher={Zenodo},
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- author={Odell, Evan},
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- year={2021},
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- month={May} }
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- """
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-
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- _DESCRIPTION = """
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- A dataset containing every speech in the House of Commons from May 1979-July 2020.
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- """
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-
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- _HOMEPAGE = "https://evanodell.com/projects/datasets/hansard-data/"
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-
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- _LICENSE = "Creative Commons Attribution 4.0 International License"
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-
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- _URLS = {
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- "csv": "https://zenodo.org/record/4843485/files/hansard-speeches-v310.csv.zip?download=1",
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- "json": "https://zenodo.org/record/4843485/files/parliamentary_posts.json?download=1",
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- }
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-
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- fields = [
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- "id",
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- "speech",
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- "display_as",
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- "party",
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- "constituency",
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- "mnis_id",
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- "date",
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- "time",
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- "colnum",
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- "speech_class",
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- "major_heading",
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- "minor_heading",
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- "oral_heading",
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- "year",
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- "hansard_membership_id",
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- "speakerid",
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- "person_id",
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- "speakername",
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- "url",
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- "parliamentary_posts",
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- "opposition_posts",
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- "government_posts",
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- ]
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-
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- logger = datasets.utils.logging.get_logger(__name__)
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-
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-
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- class HansardSpeech(datasets.GeneratorBasedBuilder):
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- """A dataset containing every speech in the House of Commons from May 1979-July 2020."""
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-
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- VERSION = datasets.Version("3.1.0")
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-
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- def _info(self):
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- features = datasets.Features(
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- {
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- "id": datasets.Value("string"),
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- "speech": datasets.Value("string"),
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- "display_as": datasets.Value("string"),
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- "party": datasets.Value("string"),
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- "constituency": datasets.Value("string"),
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- "mnis_id": datasets.Value("string"),
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- "date": datasets.Value("string"),
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- "time": datasets.Value("string"),
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- "colnum": datasets.Value("string"),
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- "speech_class": datasets.Value("string"),
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- "major_heading": datasets.Value("string"),
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- "minor_heading": datasets.Value("string"),
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- "oral_heading": datasets.Value("string"),
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- "year": datasets.Value("string"),
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- "hansard_membership_id": datasets.Value("string"),
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- "speakerid": datasets.Value("string"),
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- "person_id": datasets.Value("string"),
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- "speakername": datasets.Value("string"),
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- "url": datasets.Value("string"),
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- "government_posts": datasets.Sequence(datasets.Value("string")),
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- "opposition_posts": datasets.Sequence(datasets.Value("string")),
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- "parliamentary_posts": datasets.Sequence(datasets.Value("string")),
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- }
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- )
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- return datasets.DatasetInfo(
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- description=_DESCRIPTION,
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- features=features,
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- homepage=_HOMEPAGE,
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- license=_LICENSE,
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- citation=_CITATION,
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- )
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-
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- def _split_generators(self, dl_manager):
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- temp_dir = dl_manager.download_and_extract(_URLS["csv"])
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- csv_file = os.path.join(temp_dir, "hansard-speeches-v310.csv")
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- json_file = dl_manager.download(_URLS["json"])
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- return [
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- datasets.SplitGenerator(
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- name=datasets.Split.TRAIN,
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- # These kwargs will be passed to _generate_examples
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- gen_kwargs={"filepaths": [csv_file, json_file], "split": "train",},
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- ),
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- ]
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-
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- def _generate_examples(self, filepaths, split):
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- logger.warn("\nThis is a large dataset. Please be patient")
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- json_data = pd.read_json(filepaths[1])
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- csv_data_chunks = pd.read_csv(filepaths[0], chunksize=50000, dtype="object")
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- for data_chunk in csv_data_chunks:
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- data_chunk.fillna("", inplace=True)
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- for _, row in data_chunk.iterrows():
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- data_point = {}
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- for field in fields[:-3]:
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- data_point[field] = str(row[field]) if row[field] else ""
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- parl_post_list = []
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- if data_point["mnis_id"] and data_point["date"]:
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- speech_dt = data_point["date"] + " 00:00:00"
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- try:
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- parl_posts = json_data[
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- (json_data["mnis_id"] == int(data_point["mnis_id"]))
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- & (json_data["date"] == speech_dt)
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- ]["parliamentary_posts"]
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- if len(parl_posts) > 0:
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- parl_posts = parl_posts.iloc[0]
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- for item in parl_posts:
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- parl_post_list.append(item["parl_post_name"])
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- except Exception as e:
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- logger.warn(
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- f"Data could not be fetched for mnis_id: {data_point['mnis_id']}, date: {data_point['date']}\nError: {repr(e)}"
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- )
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- opp_post = []
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- gov_post = []
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- data_point["government_posts"] = gov_post
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- data_point["opposition_posts"] = opp_post
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- data_point["parliamentary_posts"] = parl_post_list
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- yield data_point["id"], data_point
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-