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Upload knessetCorpus.py

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  1. knessetCorpus.py +11 -12
knessetCorpus.py CHANGED
@@ -120,7 +120,7 @@ class KnessetCorpus(datasets.GeneratorBasedBuilder):
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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_full_sentences.jsonl.bz2"],
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  citation=_KnessetCorpus_CITATION,
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  )]
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@@ -268,25 +268,24 @@ class KnessetCorpus(datasets.GeneratorBasedBuilder):
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  id_field_name = "person_id"
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  for i, filepath in enumerate(data_files):
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- print(f'i:{i}')
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- print(f'filepath: {filepath}')
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-
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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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- 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.")
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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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- yield id_, sample
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-
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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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  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"],#TODO change to plenary and not female
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  citation=_KnessetCorpus_CITATION,
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  )]
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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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