Convert dataset to Parquet

#1
by davanstrien HF staff - opened
README.md CHANGED
@@ -1,24 +1,18 @@
1
  ---
2
  annotations_creators:
3
  - no-annotation
4
- language:
5
- - 'en'
6
  language_creators:
7
  - expert-generated
 
 
8
  license:
9
  - cc-by-4.0
10
  multilinguality:
11
  - monolingual
12
- pretty_name: Hansard Speeches
13
  size_categories:
14
  - 1M<n<10M
15
  source_datasets:
16
  - original
17
- tags:
18
- - speeches
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- - politics
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- - parliament
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- - British
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  task_categories:
23
  - text-classification
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  - text-generation
@@ -26,6 +20,69 @@ task_ids:
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  - multi-class-classification
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  - language-modeling
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  - masked-language-modeling
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
29
  ---
30
 
31
  # Dataset Card for Hansard speech
 
1
  ---
2
  annotations_creators:
3
  - no-annotation
 
 
4
  language_creators:
5
  - expert-generated
6
+ language:
7
+ - en
8
  license:
9
  - cc-by-4.0
10
  multilinguality:
11
  - monolingual
 
12
  size_categories:
13
  - 1M<n<10M
14
  source_datasets:
15
  - original
 
 
 
 
 
16
  task_categories:
17
  - text-classification
18
  - text-generation
 
20
  - multi-class-classification
21
  - language-modeling
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  - masked-language-modeling
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+ pretty_name: Hansard Speeches
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+ tags:
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+ - speeches
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+ - politics
27
+ - parliament
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+ - British
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+ dataset_info:
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: speech
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+ dtype: string
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+ - name: display_as
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+ dtype: string
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+ - name: party
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+ dtype: string
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+ - name: constituency
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+ dtype: string
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+ - name: mnis_id
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+ dtype: string
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+ - name: date
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+ dtype: string
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+ - name: time
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+ dtype: string
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+ - name: colnum
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+ dtype: string
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+ - name: speech_class
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+ dtype: string
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+ - name: major_heading
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+ dtype: string
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+ - name: minor_heading
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+ dtype: string
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+ - name: oral_heading
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+ dtype: string
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+ - name: year
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+ dtype: string
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+ - name: hansard_membership_id
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+ dtype: string
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+ - name: speakerid
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+ dtype: string
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+ - name: person_id
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+ dtype: string
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+ - name: speakername
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+ dtype: string
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+ - name: url
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+ dtype: string
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+ - name: government_posts
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+ sequence: string
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+ - name: opposition_posts
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+ sequence: string
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+ - name: parliamentary_posts
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+ sequence: string
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+ splits:
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+ - name: train
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+ num_bytes: 3398866626
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+ num_examples: 2694375
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+ download_size: 1479284559
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+ dataset_size: 3398866626
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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  ---
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  # Dataset Card for Hansard speech
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dataset_infos.json DELETED
@@ -1 +0,0 @@
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- {"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 DELETED
@@ -1,161 +0,0 @@
1
- # 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");
4
- # you may not use this file except in compliance with the License.
5
- # 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
8
- #
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- # Unless required by applicable law or agreed to in writing, software
10
- # distributed under the License is distributed on an "AS IS" BASIS,
11
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12
- # See the License for the specific language governing permissions and
13
- # limitations under the License.
14
- """
15
- A dataset containing every speech in the House of Commons from May 1979-July 2020.
16
- """
17
-
18
- import json
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- import os
20
- import time
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- import pandas as pd
22
- from datetime import datetime
23
- import datasets
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-
25
- _CITATION = """@misc{odell, evan_2021,
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- title={Hansard Speeches 1979-2021: Version 3.1.0},
27
- DOI={10.5281/zenodo.4843485},
28
- 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.},
30
- publisher={Zenodo},
31
- author={Odell, Evan},
32
- year={2021},
33
- month={May} }
34
- """
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-
36
- _DESCRIPTION = """
37
- A dataset containing every speech in the House of Commons from May 1979-July 2020.
38
- """
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-
40
- _HOMEPAGE = "https://evanodell.com/projects/datasets/hansard-data/"
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-
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- _LICENSE = "Creative Commons Attribution 4.0 International License"
43
-
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- _URLS = {
45
- "csv": "https://zenodo.org/record/4843485/files/hansard-speeches-v310.csv.zip?download=1",
46
- "json": "https://zenodo.org/record/4843485/files/parliamentary_posts.json?download=1",
47
- }
48
-
49
- fields = [
50
- "id",
51
- "speech",
52
- "display_as",
53
- "party",
54
- "constituency",
55
- "mnis_id",
56
- "date",
57
- "time",
58
- "colnum",
59
- "speech_class",
60
- "major_heading",
61
- "minor_heading",
62
- "oral_heading",
63
- "year",
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- "hansard_membership_id",
65
- "speakerid",
66
- "person_id",
67
- "speakername",
68
- "url",
69
- "parliamentary_posts",
70
- "opposition_posts",
71
- "government_posts",
72
- ]
73
-
74
- logger = datasets.utils.logging.get_logger(__name__)
75
-
76
-
77
- class HansardSpeech(datasets.GeneratorBasedBuilder):
78
- """A dataset containing every speech in the House of Commons from May 1979-July 2020."""
79
-
80
- VERSION = datasets.Version("3.1.0")
81
-
82
- def _info(self):
83
- features = datasets.Features(
84
- {
85
- "id": datasets.Value("string"),
86
- "speech": datasets.Value("string"),
87
- "display_as": datasets.Value("string"),
88
- "party": datasets.Value("string"),
89
- "constituency": datasets.Value("string"),
90
- "mnis_id": datasets.Value("string"),
91
- "date": datasets.Value("string"),
92
- "time": datasets.Value("string"),
93
- "colnum": datasets.Value("string"),
94
- "speech_class": datasets.Value("string"),
95
- "major_heading": datasets.Value("string"),
96
- "minor_heading": datasets.Value("string"),
97
- "oral_heading": datasets.Value("string"),
98
- "year": datasets.Value("string"),
99
- "hansard_membership_id": datasets.Value("string"),
100
- "speakerid": datasets.Value("string"),
101
- "person_id": datasets.Value("string"),
102
- "speakername": datasets.Value("string"),
103
- "url": datasets.Value("string"),
104
- "government_posts": datasets.Sequence(datasets.Value("string")),
105
- "opposition_posts": datasets.Sequence(datasets.Value("string")),
106
- "parliamentary_posts": datasets.Sequence(datasets.Value("string")),
107
- }
108
- )
109
- return datasets.DatasetInfo(
110
- description=_DESCRIPTION,
111
- features=features,
112
- homepage=_HOMEPAGE,
113
- license=_LICENSE,
114
- citation=_CITATION,
115
- )
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-
117
- def _split_generators(self, dl_manager):
118
- temp_dir = dl_manager.download_and_extract(_URLS["csv"])
119
- csv_file = os.path.join(temp_dir, "hansard-speeches-v310.csv")
120
- json_file = dl_manager.download(_URLS["json"])
121
- return [
122
- datasets.SplitGenerator(
123
- name=datasets.Split.TRAIN,
124
- # These kwargs will be passed to _generate_examples
125
- gen_kwargs={"filepaths": [csv_file, json_file], "split": "train",},
126
- ),
127
- ]
128
-
129
- def _generate_examples(self, filepaths, split):
130
- logger.warn("\nThis is a large dataset. Please be patient")
131
- json_data = pd.read_json(filepaths[1])
132
- csv_data_chunks = pd.read_csv(filepaths[0], chunksize=50000, dtype="object")
133
- for data_chunk in csv_data_chunks:
134
- data_chunk.fillna("", inplace=True)
135
- for _, row in data_chunk.iterrows():
136
- data_point = {}
137
- for field in fields[:-3]:
138
- data_point[field] = str(row[field]) if row[field] else ""
139
- parl_post_list = []
140
- if data_point["mnis_id"] and data_point["date"]:
141
- speech_dt = data_point["date"] + " 00:00:00"
142
- try:
143
- parl_posts = json_data[
144
- (json_data["mnis_id"] == int(data_point["mnis_id"]))
145
- & (json_data["date"] == speech_dt)
146
- ]["parliamentary_posts"]
147
- if len(parl_posts) > 0:
148
- parl_posts = parl_posts.iloc[0]
149
- for item in parl_posts:
150
- parl_post_list.append(item["parl_post_name"])
151
- except Exception as e:
152
- logger.warn(
153
- f"Data could not be fetched for mnis_id: {data_point['mnis_id']}, date: {data_point['date']}\nError: {repr(e)}"
154
- )
155
- opp_post = []
156
- gov_post = []
157
- data_point["government_posts"] = gov_post
158
- data_point["opposition_posts"] = opp_post
159
- data_point["parliamentary_posts"] = parl_post_list
160
- yield data_point["id"], data_point
161
-