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import json |
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import os |
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from typing import List |
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from huggingface_hub import hf_hub_url |
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import datasets |
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_KnessetCorpus_CITATION = """\ |
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@article{ |
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} |
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""" |
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_KnessetCorpus_DESCRIPTION = """ |
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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. |
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Sentences are annotated with various levels of linguistic information, including part-of-speech tags, morphological features, dependency structures, and named entities. |
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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. |
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""" |
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_AllFeaturesSentences_DESCRIPTION = """\ |
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AllFeaturesSentences consists of samples of all the sentences in the corpus (plenary and committee) together with all the features available in the dataset:\ |
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The features are consistent with the Sentence model features, the Protocol model features of the protocol the sentence belongs to, |
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the Person model features of the speaker and the Faction model features \ |
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of the faction of the speaker at that time. |
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This is roughly equivalent to a join between all models in dataset (Protocol, Faction, Person, Sentence) |
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""" |
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_CommitteeAllFeaturesSentences_DESCRIPTION = """\ |
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CommitteeAllFeaturesSentences consists of samples of all the sentences in the committee sessions in the corpus together with all the features available in the dataset:\ |
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The features are consistent with the Sentence model features, the Protocol model features of the protocol the sentence belongs to, |
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the Person model features of the speaker and the Faction model features \ |
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of the faction of the speaker at that time. |
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This is roughly equivalent to a join between all models in dataset (Protocol, Faction, Person, Sentence) |
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""" |
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_PlenaryAllFeaturesSentences_DESCRIPTION = """\ |
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PlenaryAllFeaturesSentences consists of samples of all the sentences in the plenary sessions in the corpus together with all the features available in the dataset:\ |
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The features are consistent with the Sentence model features, the Protocol model features of the protocol the sentence belongs to, |
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the Person model features of the speaker and the Faction model features \ |
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of the faction of the speaker at that time. |
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This is roughly equivalent to a join between all models in dataset (Protocol, Faction, Person, Sentence) |
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""" |
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_KnessetMembers_DESCRIPTION = """\ |
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KnessetMembers consists of samples of the knesset members in the dataset and their meta-data information such as name, gender and factions affiliations. |
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The features are consistent with the Person model features |
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""" |
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_Factions_DESCRIPTION = """\ |
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Factions consists of samples of the factions in the dataset and their meta-data information such as name, political orientation and active periods. |
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The features are consistent with the Faction model features |
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""" |
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_Protocols_DESCRIPTION = """\ |
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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. |
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The features are consistent with the Protocol model features and the features for each sentence are consistent with the Sentence model |
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""" |
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class KnessetCorpusConfig(datasets.BuilderConfig): |
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"""BuilderConfig for KnessetCorpus.""" |
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def __init__(self, features, data_urls, citation, **kwargs): |
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"""BuilderConfig for KnessetCorpus. |
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Args: |
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features: *list[string]*, list of the features that will appear in the |
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feature dict. Should not include "label". |
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data_urls: *list[string]*, urls to download the files from. |
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citation: *string*, citation for the data set. |
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**kwargs: keyword arguments forwarded to super. |
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""" |
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super().__init__(version=datasets.Version("1.0.1"), **kwargs) |
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self.features = features |
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self.data_urls = data_urls |
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self.citation = citation |
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class KnessetCorpus(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIG_CLASS = KnessetCorpusConfig |
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BUILDER_CONFIGS = [ |
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KnessetCorpusConfig( |
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name="knessetMembers", |
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description=_KnessetMembers_DESCRIPTION, |
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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" ], |
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data_urls=["https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/raw/main/all_knesset_members_jsons.jsonl"], |
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citation=_KnessetCorpus_CITATION, |
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), |
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KnessetCorpusConfig( |
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name="factions", |
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description=_Factions_DESCRIPTION, |
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features=["faction_name", "faction_popular_initials", "faction_id", "active_periods", "knesset_numbers", "coalition_or_opposition_memberships", "political_orientation", "other_names", "notes", "wiki_link", ], |
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data_urls=["https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/raw/main/factions_jsons.jsonl"], |
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citation=_KnessetCorpus_CITATION, |
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), |
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KnessetCorpusConfig( |
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name="protocols", |
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description=_Protocols_DESCRIPTION, |
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features=["protocol_name", "session_name", "parent_session_name", "knesset_number", "protocol_number", "protocol_date", "is_ocr_output", "protocol_type", "protocol_sentences"], |
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data_urls=["https://dl.fbaipublicfiles.com/glue/superglue/data/v2/BoolQ.zip?raw=true"], |
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citation=_KnessetCorpus_CITATION, |
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), |
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KnessetCorpusConfig( |
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name="all_features_sentences", |
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description=_AllFeaturesSentences_DESCRIPTION, |
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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"], |
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data_urls=["https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/committee_full_sentences.jsonl.bz2","https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/plenary_full_sentences.jsonl.bz2"], |
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citation=_KnessetCorpus_CITATION, |
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), |
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KnessetCorpusConfig( |
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name="committees_all_features_sentences", |
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description=_AllFeaturesSentences_DESCRIPTION, |
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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"], |
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data_urls=["https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/committee_full_sentences.jsonl.bz2"], |
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citation=_KnessetCorpus_CITATION, |
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), |
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KnessetCorpusConfig( |
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name="plenary_all_features_sentences", |
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description=_AllFeaturesSentences_DESCRIPTION, |
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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"], |
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data_urls=["https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/plenary_female_sentences.jsonl.bz2"], |
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citation=_KnessetCorpus_CITATION, |
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)] |
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def _info(self): |
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features = {feature: datasets.Value("string") for feature in self.config.features} |
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if "all_features_sentences" in self.config.name: |
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features.update({ |
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"faction_active_periods": datasets.Sequence({ |
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"end_date": datasets.Value("string"), |
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"start_date": datasets.Value("string"), |
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}), |
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"faction_coalition_or_opposition_memberships": datasets.Sequence({ |
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"end_date": datasets.Value("string"), |
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"knesset_faction_name": datasets.Value("string"), |
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"knesset_num": datasets.Value("string"), |
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"member_of_coalition": datasets.Value("bool"), |
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"notes": datasets.Value("string"), |
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"start_date": datasets.Value("string") |
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}), |
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"faction_other_names": datasets.Sequence({ |
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"name": datasets.Value("string"), |
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"name_end_date": datasets.Value("string"), |
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"name_start_date": datasets.Value("string") |
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}), |
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"is_chairman": datasets.Value("bool"), |
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"is_ocr_output": datasets.Value("bool"), |
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"is_valid_speaker": datasets.Value("bool"), |
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"sent_num_in_turn": datasets.Value("int64"), |
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"turn_num_in_protocol": datasets.Value("int64"), |
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"morphological_fields": datasets.Sequence({ |
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"id": datasets.Value("string"), |
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"form": datasets.Value("string"), |
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"lemma": datasets.Value("string"), |
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"upos": datasets.Value("string"), |
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"xpos": datasets.Value("string"), |
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"feats": datasets.Value("string"), |
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"head": datasets.Value("int32"), |
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"deprel": datasets.Value("string"), |
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"deps": datasets.Value("string"), |
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"misc": datasets.Value("string")}), |
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"speaker_factions_memberships": datasets.Sequence({ |
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"end_date": datasets.Value("string"), |
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"faction_id": datasets.Value("string"), |
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"faction_name": datasets.Value("string"), |
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"knesset_faction_id": datasets.Value("string"), |
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"knesset_number": datasets.Value("string"), |
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"start_date": datasets.Value("string")}), |
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"speaker_is_knesset_member": datasets.Value("bool"), |
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"speaker_notes": datasets.Sequence(datasets.Value("string")), |
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"speaker_languages": datasets.Sequence(datasets.Value("string")) |
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}) |
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if self.config.name == "protocols": |
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features.update({ |
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"is_ocr_output": datasets.Value("bool"), |
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"protocol_sentences": datasets.Sequence({ |
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"sentence_id": datasets.Value("string"), |
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"protocol_name": datasets.Value("string"), |
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"speaker_id": datasets.Value("string"), |
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"speaker_name": datasets.Value("string"), |
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"is_valid_speaker": datasets.Value("bool"), |
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"turn_num_in_protocol": datasets.Value("int64"), |
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"sent_num_in_turn": datasets.Value("int64"), |
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"sentence_text": datasets.Value("string"), |
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"is_chairman": datasets.Value("bool"), |
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"morphological_fields": datasets.Sequence({ |
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"id": datasets.Value("string"), |
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"form": datasets.Value("string"), |
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"lemma": datasets.Value("string"), |
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"upos": datasets.Value("string"), |
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"xpos": datasets.Value("string"), |
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"feats": datasets.Value("string"), |
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"head": datasets.Value("int32"), |
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"deprel": datasets.Value("string"), |
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"deps": datasets.Value("string"), |
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"misc": datasets.Value("string"), |
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}), |
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"factuality_fields": datasets.Value("string") |
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}) |
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}) |
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if self.config.name == "factions": |
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features.update({ |
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"active_periods": datasets.Sequence({ |
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"end_date": datasets.Value("string"), |
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"start_date": datasets.Value("string"), |
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}), |
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"coalition_or_opposition_memberships": datasets.Sequence({ |
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"end_date": datasets.Value("string"), |
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"knesset_faction_name": datasets.Value("string"), |
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"knesset_num": datasets.Value("string"), |
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"member_of_coalition": datasets.Value("bool"), |
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"notes": datasets.Value("string"), |
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"start_date": datasets.Value("string"), |
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}), |
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"other_names": datasets.Sequence({ |
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"name": datasets.Value("string"), |
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"name_end_date": datasets.Value("string"), |
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"name_start_date": datasets.Value("string"), |
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}) |
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}) |
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if self.config.name == "KnessetMembers": |
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features.update({ |
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"is_knesset_member": datasets.Value("bool"), |
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"factions_memberships": datasets.Sequence({ |
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"end_date": datasets.Value("string"), |
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"faction_id": datasets.Value("string"), |
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"faction_name": datasets.Value("string"), |
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"knesset_faction_id": datasets.Value("string"), |
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"knesset_number": datasets.Value("string"), |
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"start_date": datasets.Value("string")}), |
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"notes": datasets.Sequence(datasets.Value("string")), |
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"languages": datasets.Sequence(datasets.Value("string")) |
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}) |
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return datasets.DatasetInfo( |
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description=_KnessetCorpus_DESCRIPTION + self.config.description, |
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features=datasets.Features(features), |
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citation=self.config.citation |
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) |
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: |
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urls = self.config.data_urls |
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downloaded_files = dl_manager.download_and_extract(urls) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"data_files": downloaded_files |
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}, |
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), |
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] |
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def _generate_examples(self, data_files): |
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print(f'data_files:{data_files}') |
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if "all_features_sentences" in self.config.name: |
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id_field_name = "sentence_id" |
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elif self.config.name == "protocols": |
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id_field_name = "protocol_name" |
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elif self.config.name == "factions": |
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id_field_name = "faction_id" |
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elif self.config.name == "knessetMembers": |
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id_field_name = "person_id" |
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for i, filepath in enumerate(data_files): |
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with open(filepath, encoding="utf-8") as f: |
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for line in f: |
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sample = {} |
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try: |
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row = json.loads(line) |
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except Exception as e: |
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print(f'couldnt load sample. error was: {e}. Continuing to next sample') |
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continue |
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id_ = row.get(id_field_name, None) |
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if id_ is None: |
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print(f"Key '{id_field_name}' not found in row. Skipping this row. row is: {row}") |
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continue |
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for feature in self._info().features: |
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sample[feature] = row[feature] |
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try: |
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yield id_, sample |
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except Exception as e: |
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print(f'couldnt yield sample. error: {e}. sample is: {sample}.') |
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