Convert dataset to Parquet

README.md

@@ -1,24 +1,18 @@
 ---
 annotations_creators:
 - no-annotation
-language:
-- 'en'
 language_creators:
 - expert-generated
+language:
+- en
 license:
 - cc-by-4.0
 multilinguality:
 - monolingual
-pretty_name: Hansard Speeches
 size_categories:
 - 1M<n<10M
 source_datasets:
 - original
-tags:
-- speeches
-- politics
-- parliament
-- British
 task_categories:
 - text-classification
 - text-generation
@@ -26,6 +20,69 @@ task_ids:
 - multi-class-classification
 - language-modeling
 - masked-language-modeling
+pretty_name: Hansard Speeches
+tags:
+- speeches
+- politics
+- parliament
+- British
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: speech
+    dtype: string
+  - name: display_as
+    dtype: string
+  - name: party
+    dtype: string
+  - name: constituency
+    dtype: string
+  - name: mnis_id
+    dtype: string
+  - name: date
+    dtype: string
+  - name: time
+    dtype: string
+  - name: colnum
+    dtype: string
+  - name: speech_class
+    dtype: string
+  - name: major_heading
+    dtype: string
+  - name: minor_heading
+    dtype: string
+  - name: oral_heading
+    dtype: string
+  - name: year
+    dtype: string
+  - name: hansard_membership_id
+    dtype: string
+  - name: speakerid
+    dtype: string
+  - name: person_id
+    dtype: string
+  - name: speakername
+    dtype: string
+  - name: url
+    dtype: string
+  - name: government_posts
+    sequence: string
+  - name: opposition_posts
+    sequence: string
+  - name: parliamentary_posts
+    sequence: string
+  splits:
+  - name: train
+    num_bytes: 3398866626
+    num_examples: 2694375
+  download_size: 1479284559
+  dataset_size: 3398866626
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---
 
 # Dataset Card for Hansard speech

data/train-00000-of-00007.parquet

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+size 216610228

data/train-00001-of-00007.parquet

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+size 208073916

data/train-00002-of-00007.parquet

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+size 216361755

data/train-00003-of-00007.parquet

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+size 224522446

data/train-00004-of-00007.parquet

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+size 223169383

data/train-00005-of-00007.parquet

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+size 195422018

data/train-00006-of-00007.parquet

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+size 195124813

dataset_infos.json

@@ -1 +0,0 @@
-{"default": {"description": "\nA dataset containing every speech in the House of Commons from May 1979-July 2020.\n", "citation": "@misc{odell, evan_2021, \ntitle={Hansard Speeches 1979-2021: Version 3.1.0}, \nDOI={10.5281/zenodo.4843485}, \nabstractNote={<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>}, \nnote={This release is an update of previously released datasets. See full documentation for details.}, \npublisher={Zenodo}, \nauthor={Odell, Evan}, \nyear={2021}, \nmonth={May} }\n", "homepage": "https://evanodell.com/projects/datasets/hansard-data/", "license": "Creative Commons Attribution 4.0 International License", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "speech": {"dtype": "string", "id": null, "_type": "Value"}, "display_as": {"dtype": "string", "id": null, "_type": "Value"}, "party": {"dtype": "string", "id": null, "_type": "Value"}, "constituency": {"dtype": "string", "id": null, "_type": "Value"}, "mnis_id": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "time": {"dtype": "string", "id": null, "_type": "Value"}, "colnum": {"dtype": "string", "id": null, "_type": "Value"}, "speech_class": {"dtype": "string", "id": null, "_type": "Value"}, "major_heading": {"dtype": "string", "id": null, "_type": "Value"}, "minor_heading": {"dtype": "string", "id": null, "_type": "Value"}, "oral_heading": {"dtype": "string", "id": null, "_type": "Value"}, "year": {"dtype": "string", "id": null, "_type": "Value"}, "hansard_membership_id": {"dtype": "string", "id": null, "_type": "Value"}, "speakerid": {"dtype": "string", "id": null, "_type": "Value"}, "person_id": {"dtype": "string", "id": null, "_type": "Value"}, "speakername": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "government_posts": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "opposition_posts": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "parliamentary_posts": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "hansard_speech", "config_name": "default", "version": {"version_str": "3.1.0", "description": null, "major": 3, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3398866626, "num_examples": 2694375, "dataset_name": "hansard_speech"}}, "download_checksums": {"https://zenodo.org/record/4843485/files/hansard-speeches-v310.csv.zip?download=1": {"num_bytes": 917690644, "checksum": "907289e49058f7127e1c48d468105957992de4105e0dab4875f4b49ca080639c"}, "https://zenodo.org/record/4843485/files/parliamentary_posts.json?download=1": {"num_bytes": 18906072, "checksum": "829292ae9fcfd770dbf24da0a07da42479ce8a008464c48076a8115eb8868e6c"}}, "download_size": 936596716, "post_processing_size": null, "dataset_size": 3398866626, "size_in_bytes": 4335463342}}

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
-