Upload knessetCorpus.py
Browse files- knessetCorpus.py +93 -1
knessetCorpus.py
CHANGED
@@ -23,7 +23,15 @@ 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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@@ -32,6 +40,18 @@ 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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@@ -40,6 +60,16 @@ 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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@@ -109,6 +139,27 @@ class KnessetCorpus(datasets.GeneratorBasedBuilder):
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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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@@ -116,11 +167,52 @@ class KnessetCorpus(datasets.GeneratorBasedBuilder):
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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=[ "_id", "knesset_number", "protocol_name", "protocol_number", "protocol_type", "session_name", "parent_session_name", "@timestamp", "protocol_date", "is_ocr_output", "sentence_id", "speaker_id", "speaker_name", "is_valid_speaker", "is_chairman", "turn_num_in_protocol", "sent_num_in_turn", "sentence_text", "morphological_fields", "factuality_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", "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/
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citation=_KnessetCorpus_CITATION,
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)]
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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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+
_NoMorphAllFeaturesSentences_DESCRIPTION = """\
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+
AllFeaturesSentences consists of samples of all the sentences in the corpus (plenary and committee) together with all the non-morphological 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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Ideal if morpho-syntactic annotations aren't relevant to your work, providing a less disk space heavy option.
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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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This is roughly equivalent to a join between all models in dataset (Protocol, Faction, Person, Sentence)
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"""
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+
_NoMorphCommitteeAllFeaturesSentences_DESCRIPTION = """\
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AllFeaturesSentences consists of samples of all the sentences in the committee sessions in the corpus together with all the non-morphological 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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+
Ideal if morpho-syntactic annotations aren't relevant to your work, providing a less disk space heavy option.
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+
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"""
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+
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+
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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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This is roughly equivalent to a join between all models in dataset (Protocol, Faction, Person, Sentence)
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"""
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+
_NoMorphPlenaryAllFeaturesSentences_DESCRIPTION = """\
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AllFeaturesSentences consists of samples of all the sentences in the plenary sessions in the corpus together with all the non-morphological 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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+
Ideal if morpho-syntactic annotations aren't relevant to your work, providing a less disk space heavy option.
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+
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"""
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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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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="no_morph_all_features_sentences",
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description=_NoMorphAllFeaturesSentences_DESCRIPTION,
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features=["_id", "knesset_number", "protocol_name", "protocol_number", "protocol_type", "session_name",
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"parent_session_name", "@timestamp", "protocol_date", "is_ocr_output", "sentence_id",
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"speaker_id", "speaker_name", "is_valid_speaker", "is_chairman", "turn_num_in_protocol",
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"sent_num_in_turn", "sentence_text", "factuality_fields",
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"speaker_first_name", "speaker_last_name", "speaker_is_knesset_member", "speaker_gender",
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"speaker_email", "speaker_last_updated_date", "speaker_date_of_birth", "speaker_place_of_birth",
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"speaker_year_of_aliya", "speaker_date_of_death", "speaker_mother_tongue", "speaker_religion",
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"speaker_nationality", "speaker_religious_orientation", "speaker_residence",
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"speaker_factions_memberships", "speaker_languages", "speaker_sources", "speaker_notes",
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"faction_id", "faction_general_name", "knesset_faction_id", "current_faction_name",
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"faction_popular_initials", "faction_active_periods", "faction_knesset_numbers",
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"faction_coalition_or_opposition_memberships", "faction_political_orientation",
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"faction_other_names", "faction_notes", "faction_wiki_link"],
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data_urls=[
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"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/no_morph_committee_full_sentences.jsonl.bz2",
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+
"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/no_morph_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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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="no_morph_committee_all_features_sentences",
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+
description=_NoMorphCommitteeAllFeaturesSentences_DESCRIPTION,
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+
features=["_id", "knesset_number", "protocol_name", "protocol_number", "protocol_type", "session_name",
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+
"parent_session_name", "@timestamp", "protocol_date", "is_ocr_output", "sentence_id",
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+
"speaker_id", "speaker_name", "is_valid_speaker", "is_chairman", "turn_num_in_protocol",
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"sent_num_in_turn", "sentence_text", "factuality_fields",
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+
"speaker_first_name", "speaker_last_name", "speaker_is_knesset_member", "speaker_gender",
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+
"speaker_email", "speaker_last_updated_date", "speaker_date_of_birth", "speaker_place_of_birth",
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+
"speaker_year_of_aliya", "speaker_date_of_death", "speaker_mother_tongue", "speaker_religion",
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+
"speaker_nationality", "speaker_religious_orientation", "speaker_residence",
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+
"speaker_factions_memberships", "speaker_languages", "speaker_sources", "speaker_notes",
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+
"faction_id", "faction_general_name", "knesset_faction_id", "current_faction_name",
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+
"faction_popular_initials", "faction_active_periods", "faction_knesset_numbers",
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+
"faction_coalition_or_opposition_memberships", "faction_political_orientation",
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"faction_other_names", "faction_notes", "faction_wiki_link"],
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+
data_urls=[
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"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/no_morph_committee_full_sentences.jsonl.bz2",
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+
"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/no_morph_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="no_morph_plenary_all_features_sentences",
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description=_NoMorphPlenaryAllFeaturesSentences_DESCRIPTION,
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+
features=["_id", "knesset_number", "protocol_name", "protocol_number", "protocol_type", "session_name",
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+
"parent_session_name", "@timestamp", "protocol_date", "is_ocr_output", "sentence_id",
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+
"speaker_id", "speaker_name", "is_valid_speaker", "is_chairman", "turn_num_in_protocol",
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+
"sent_num_in_turn", "sentence_text", "factuality_fields",
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+
"speaker_first_name", "speaker_last_name", "speaker_is_knesset_member", "speaker_gender",
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+
"speaker_email", "speaker_last_updated_date", "speaker_date_of_birth", "speaker_place_of_birth",
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+
"speaker_year_of_aliya", "speaker_date_of_death", "speaker_mother_tongue", "speaker_religion",
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+
"speaker_nationality", "speaker_religious_orientation", "speaker_residence",
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+
"speaker_factions_memberships", "speaker_languages", "speaker_sources", "speaker_notes",
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+
"faction_id", "faction_general_name", "knesset_faction_id", "current_faction_name",
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+
"faction_popular_initials", "faction_active_periods", "faction_knesset_numbers",
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+
"faction_coalition_or_opposition_memberships", "faction_political_orientation",
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"faction_other_names", "faction_notes", "faction_wiki_link"],
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+
data_urls=[
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"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/no_morph_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="plenary_all_features_sentences",
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description=_AllFeaturesSentences_DESCRIPTION,
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features=[ "_id", "knesset_number", "protocol_name", "protocol_number", "protocol_type", "session_name", "parent_session_name", "@timestamp", "protocol_date", "is_ocr_output", "sentence_id", "speaker_id", "speaker_name", "is_valid_speaker", "is_chairman", "turn_num_in_protocol", "sent_num_in_turn", "sentence_text", "morphological_fields", "factuality_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", "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=[f"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/plenary_full_sentences_shards_bzip2_files/plenary_full_sentences_shard_00.jsonl.bz2"f"data/shard_{str(i).zfill(2)}.jsonl" for i in range(27)],
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citation=_KnessetCorpus_CITATION,
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)]
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