File size: 17,841 Bytes
d329c13 e1ac33f d329c13 0d5ddef d329c13 0d5ddef d329c13 3b17622 d329c13 3ee22d3 d329c13 c96216b d329c13 c0ad566 d329c13 c0ad566 d329c13 3b17622 d329c13 0d5ddef d329c13 c72e219 d329c13 5887c53 d329c13 e1ac33f d329c13 5887c53 d329c13 5887c53 d329c13 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 |
import json
import os
from typing import List
from huggingface_hub import hf_hub_url
import datasets
_KnessetCorpus_CITATION = """\
@article{
}
"""
_KnessetCorpus_DESCRIPTION = """
An annotated corpus of Hebrew parliamentary proceedings containing over 32 million sentences from all the (plenary and committee) protocols held in the Israeli parliament from 1998 to 2022.
Sentences are annotated with various levels of linguistic information, including part-of-speech tags, morphological features, dependency structures, and named entities.
They are also associated with detailed meta-information reflecting demographic and political properties of the speakers, based on a large database of parliament members and factions that we compiled.
"""
_AllFeaturesSentences_DESCRIPTION = """\
AllFeaturesSentences consists of samples of all the sentences in the corpus (plenary and committee) together with all the features available in the dataset:\
The features are consistent with the Sentence model features, the Protocol model features of the protocol the sentence belongs to,
the Person model features of the speaker and the Faction model features \
of the faction of the speaker at that time.
This is roughly equivalent to a join between all models in dataset (Protocol, Faction, Person, Sentence)
"""
_CommitteeAllFeaturesSentences_DESCRIPTION = """\
CommitteeAllFeaturesSentences consists of samples of all the sentences in the committee sessions in the corpus together with all the features available in the dataset:\
The features are consistent with the Sentence model features, the Protocol model features of the protocol the sentence belongs to,
the Person model features of the speaker and the Faction model features \
of the faction of the speaker at that time.
This is roughly equivalent to a join between all models in dataset (Protocol, Faction, Person, Sentence)
"""
_PlenaryAllFeaturesSentences_DESCRIPTION = """\
PlenaryAllFeaturesSentences consists of samples of all the sentences in the plenary sessions in the corpus together with all the features available in the dataset:\
The features are consistent with the Sentence model features, the Protocol model features of the protocol the sentence belongs to,
the Person model features of the speaker and the Faction model features \
of the faction of the speaker at that time.
This is roughly equivalent to a join between all models in dataset (Protocol, Faction, Person, Sentence)
"""
_KnessetMembers_DESCRIPTION = """\
KnessetMembers consists of samples of the knesset members in the dataset and their meta-data information such as name, gender and factions affiliations.
The features are consistent with the Person model features
"""
_Factions_DESCRIPTION = """\
Factions consists of samples of the factions in the dataset and their meta-data information such as name, political orientation and active periods.
The features are consistent with the Faction model features
"""
_Protocols_DESCRIPTION = """\
Protocols consists of samples of the protocols in the dataset and their meta-data information such as date, knesset number, session name and a list of its sentences.
The features are consistent with the Protocol model features and the features for each sentence are consistent with the Sentence model
"""
class KnessetCorpusConfig(datasets.BuilderConfig):
"""BuilderConfig for KnessetCorpus."""
def __init__(self, features, data_urls, citation, **kwargs):
"""BuilderConfig for KnessetCorpus.
Args:
features: *list[string]*, list of the features that will appear in the
feature dict. Should not include "label".
data_urls: *list[string]*, urls to download the files from.
citation: *string*, citation for the data set.
**kwargs: keyword arguments forwarded to super.
"""
super().__init__(version=datasets.Version("1.0.1"), **kwargs)
self.features = features
self.data_urls = data_urls
self.citation = citation
class KnessetCorpus(datasets.GeneratorBasedBuilder):
BUILDER_CONFIG_CLASS = KnessetCorpusConfig
BUILDER_CONFIGS = [
KnessetCorpusConfig(
name="knessetMembers",
description=_KnessetMembers_DESCRIPTION,
features=["person_id", "first_name", "last_name", "full_name", "is_knesset_member", "gender", "email", "is_current", "last_updated_date", "date_of_birth", "place_of_birth", "year_of_aliya", "date_of_death", "mother_tongue", "religion", "nationality", "religious_orientation", "residence", "factions_memberships", "languages","allSources", "wikiLink","notes" ],
data_urls=["https://huggingface.co./datasets/HaifaCLGroup/KnessetCorpus/raw/main/all_knesset_members_jsons.jsonl"],
citation=_KnessetCorpus_CITATION,
),
KnessetCorpusConfig(
name="factions",
description=_Factions_DESCRIPTION,
features=["faction_name", "faction_popular_initials", "faction_id", "active_periods", "knesset_numbers", "coalition_or_opposition_memberships", "political_orientation", "other_names", "notes", "wiki_link", ],
data_urls=["https://huggingface.co./datasets/HaifaCLGroup/KnessetCorpus/raw/main/factions_jsons.jsonl"],
citation=_KnessetCorpus_CITATION,
),
KnessetCorpusConfig(
name="protocols",
description=_Protocols_DESCRIPTION,
features=["protocol_name", "session_name", "parent_session_name", "knesset_number", "protocol_number", "protocol_date", "is_ocr_output", "protocol_type", "protocol_sentences"],
data_urls=["https://dl.fbaipublicfiles.com/glue/superglue/data/v2/BoolQ.zip?raw=true"],#TODO
citation=_KnessetCorpus_CITATION,
),
KnessetCorpusConfig(
name="all_features_sentences",
description=_AllFeaturesSentences_DESCRIPTION,
features=["sentence_id", "protocol_name", "speaker_id", "speaker_name", "is_valid_speaker", "turn_num_in_protocol", "sent_num_in_turn", "sentence_text", "is_chairman","morphological_fields", "speaker_first_name", "speaker_last_name", "speaker_is_knesset_member", "speaker_gender", "speaker_email", "speaker_last_updated_date", "speaker_date_of_birth", "speaker_place_of_birth","speaker_year_of_aliya", "speaker_date_of_death", "speaker_mother_tongue", "speaker_religion", "speaker_nationality", "speaker_religious_orientation", "speaker_residence", "speaker_factions_memberships", "speaker_languages", "speaker_sources", "speaker_notes","faction_id", "faction_general_name", "knesset_faction_id", "current_faction_name", "member_of_coalition_or_opposition", "faction_popular_initials", "faction_active_periods", "faction_knesset_numbers","faction_coalition_or_opposition_memberships", "faction_political_orientation", "faction_other_names", "faction_notes", "faction_wiki_link"],
data_urls=[" https://git-lfs.github.com/spec/v1", "https://huggingface.co./datasets/HaifaCLGroup/KnessetCorpus/raw/main/protocols_sentences/plenary_full_sentences.jsonl.bz2"],
citation=_KnessetCorpus_CITATION,
),
KnessetCorpusConfig(
name="committees_all_features_sentences",
description=_AllFeaturesSentences_DESCRIPTION,
features=["sentence_id", "protocol_name", "speaker_id", "speaker_name", "is_valid_speaker", "turn_num_in_protocol", "sent_num_in_turn", "sentence_text", "is_chairman","morphological_fields", "speaker_first_name", "speaker_last_name", "speaker_is_knesset_member", "speaker_gender", "speaker_email", "speaker_last_updated_date", "speaker_date_of_birth", "speaker_place_of_birth","speaker_year_of_aliya", "speaker_date_of_death", "speaker_mother_tongue", "speaker_religion", "speaker_nationality", "speaker_religious_orientation", "speaker_residence", "speaker_factions_memberships", "speaker_languages", "speaker_sources", "speaker_notes","faction_id", "faction_general_name", "knesset_faction_id", "current_faction_name", "member_of_coalition_or_opposition", "faction_popular_initials", "faction_active_periods", "faction_knesset_numbers","faction_coalition_or_opposition_memberships", "faction_political_orientation", "faction_other_names", "faction_notes", "faction_wiki_link"],
data_urls=[" https://git-lfs.github.com/spec/v1"],
citation=_KnessetCorpus_CITATION,
),
KnessetCorpusConfig(
name="plenary_all_features_sentences",
description=_AllFeaturesSentences_DESCRIPTION,
features=["sentence_id", "protocol_name", "speaker_id", "speaker_name", "is_valid_speaker", "turn_num_in_protocol", "sent_num_in_turn", "sentence_text", "is_chairman","morphological_fields", "speaker_first_name", "speaker_last_name", "speaker_is_knesset_member", "speaker_gender", "speaker_email", "speaker_last_updated_date", "speaker_date_of_birth", "speaker_place_of_birth","speaker_year_of_aliya", "speaker_date_of_death", "speaker_mother_tongue", "speaker_religion", "speaker_nationality", "speaker_religious_orientation", "speaker_residence", "speaker_factions_memberships", "speaker_languages", "speaker_sources", "speaker_notes","faction_id", "faction_general_name", "knesset_faction_id", "current_faction_name", "member_of_coalition_or_opposition", "faction_popular_initials", "faction_active_periods", "faction_knesset_numbers","faction_coalition_or_opposition_memberships", "faction_political_orientation", "faction_other_names", "faction_notes", "faction_wiki_link"],
data_urls=["https://huggingface.co./datasets/HaifaCLGroup/KnessetCorpus/raw/main/protocols_sentences/plenary_full_sentences.jsonl.bz2"],
citation=_KnessetCorpus_CITATION,
)]
# DEFAULT_CONFIG_NAME = "all_features_sentences"
def _info(self):
features = {feature: datasets.Value("string") for feature in self.config.features}
if "all_features_sentences" in self.config.name:
features.update({
"faction_active_periods": datasets.Sequence({
"end_date": datasets.Value("string"), # Date converted to string
"start_date": datasets.Value("string"), # Date converted to string
}),
"faction_coalition_or_opposition_memberships": datasets.Sequence({
"end_date": datasets.Value("string"), # Date converted to string
"knesset_faction_name": datasets.Value("string"),
"knesset_num": datasets.Value("string"),
"member_of_coalition": datasets.Value("bool"),
"notes": datasets.Value("string"),
"start_date": datasets.Value("string") # Date converted to string
}),
"faction_other_names": datasets.Sequence({
"name": datasets.Value("string"),
"name_end_date": datasets.Value("string"), # Date converted to string
"name_start_date": datasets.Value("string") # Date converted to string
}),
"is_chairman": datasets.Value("bool"),
"is_ocr_output": datasets.Value("bool"),
"is_valid_speaker": datasets.Value("bool"),
"sent_num_in_turn": datasets.Value("int64"),
"turn_num_in_protocol": datasets.Value("int64"),
"morphological_fields": datasets.Sequence({
"id": datasets.Value("string"),
"form": datasets.Value("string"),
"lemma": datasets.Value("string"),
"upos": datasets.Value("string"),
"xpos": datasets.Value("string"),
"feats": datasets.Value("string"),
"head": datasets.Value("int32"),
"deprel": datasets.Value("string"),
"deps": datasets.Value("string"),
"misc": datasets.Value("string")}),
"speaker_factions_memberships": datasets.Sequence({
"end_date": datasets.Value("string"),
"faction_id": datasets.Value("string"),
"faction_name": datasets.Value("string"),
"knesset_faction_id": datasets.Value("string"),
"knesset_number": datasets.Value("string"),
"start_date": datasets.Value("string")}),
"speaker_is_knesset_member": datasets.Value("bool"),
"speaker_notes": datasets.Sequence(datasets.Value("string")),
"speaker_languages": datasets.Sequence(datasets.Value("string"))
})
if self.config.name == "protocols":
features.update({
"is_ocr_output": datasets.Value("bool"),
"protocol_sentences": datasets.Sequence({
"sentence_id": datasets.Value("string"),
"protocol_name": datasets.Value("string"),
"speaker_id": datasets.Value("string"),
"speaker_name": datasets.Value("string"),
"is_valid_speaker": datasets.Value("bool"),
"turn_num_in_protocol": datasets.Value("int64"),
"sent_num_in_turn": datasets.Value("int64"),
"sentence_text": datasets.Value("string"),
"is_chairman": datasets.Value("bool"),
"morphological_fields": datasets.Sequence({
"id": datasets.Value("string"),
"form": datasets.Value("string"),
"lemma": datasets.Value("string"),
"upos": datasets.Value("string"),
"xpos": datasets.Value("string"),
"feats": datasets.Value("string"),
"head": datasets.Value("int32"),
"deprel": datasets.Value("string"),
"deps": datasets.Value("string"),
"misc": datasets.Value("string"),
}),
"factuality_fields": datasets.Value("string")
})
})
if self.config.name == "factions":
features.update({
"active_periods": datasets.Sequence({
"end_date": datasets.Value("string"), # Date converted to string
"start_date": datasets.Value("string"), # Date converted to string
}),
"coalition_or_opposition_memberships": datasets.Sequence({
"end_date": datasets.Value("string"), # Date converted to string
"knesset_faction_name": datasets.Value("string"),
"knesset_num": datasets.Value("string"),
"member_of_coalition": datasets.Value("bool"),
"notes": datasets.Value("string"),
"start_date": datasets.Value("string"), # Date converted to string
}),
"other_names": datasets.Sequence({
"name": datasets.Value("string"),
"name_end_date": datasets.Value("string"), # Date converted to string
"name_start_date": datasets.Value("string"), # Date converted to string
})
})
if self.config.name == "KnessetMembers":
features.update({
"is_knesset_member": datasets.Value("bool"),
"factions_memberships": datasets.Sequence({
"end_date": datasets.Value("string"),
"faction_id": datasets.Value("string"),
"faction_name": datasets.Value("string"),
"knesset_faction_id": datasets.Value("string"),
"knesset_number": datasets.Value("string"),
"start_date": datasets.Value("string")}),
"notes": datasets.Sequence(datasets.Value("string")),
"languages": datasets.Sequence(datasets.Value("string"))
})
return datasets.DatasetInfo(
description=_KnessetCorpus_DESCRIPTION + self.config.description,
features=datasets.Features(features),
citation=self.config.citation
)
def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
urls = self.config.data_urls
downloaded_files = dl_manager.download_and_extract(urls)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"data_files": downloaded_files
},
),
]
def _generate_examples(self, data_files):
print(f'data_files:{data_files}')
if "all_features_sentences" in self.config.name:
id_field_name = "sentence_id"
url = hf_hub_url(repo_id="HaifaCLGroup/knessetCorpus",
filename="KnessetCorpus/protocols_sentences/committee_full_sentences.jsonl.bz2")
data_files = [url]
elif self.config.name == "protocols":
id_field_name = "protocol_name"
elif self.config.name == "factions":
id_field_name = "faction_id"
elif self.config.name == "knessetMembers":
id_field_name = "person_id"
for i, filepath in enumerate(data_files):
print(f'i:{i}')
print(f'filepath: {filepath}')
with open(filepath, encoding="utf-8") as f:
for line in f:
print(f'line: {line}')
try:
row = json.loads(line)
except Exception as e:
print(f'couldnt load sample. error was: {e}. Continuing to next sample')
continue
id_ = row[id_field_name]
yield id_, row
|