Upload knessetCorpus.py

knessetCorpus.py

@@ -0,0 +1,421 @@
+import json
+import os
+from typing import List
+from huggingface_hub import hf_hub_url
+
+import datasets
+
+num_plenary_shard = 28
+num_of_committee_shards = 90
+_KnessetCorpus_CITATION = "@misc{goldin2024knesset, title={The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary Proceedings}, author={Gili Goldin and Nick Howell and Noam Ordan and Ella Rabinovich and Shuly Wintner}, year={2024}, eprint={2405.18115}, archivePrefix={arXiv}, primaryClass={cs.CL} }"
+
+_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) 
+"""
+_NoMorphAllFeaturesSentences_DESCRIPTION = """\
+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 :\
+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) 
+Ideal if morpho-syntactic annotations aren't relevant to your work, providing a less disk space heavy option.
+
+"""
+_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) 
+"""
+
+_NoMorphCommitteeAllFeaturesSentences_DESCRIPTION = """\
+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 :\
+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) 
+Ideal if morpho-syntactic annotations aren't relevant to your work, providing a less disk space heavy option.
+
+"""
+
+
+
+_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) 
+"""
+
+_NoMorphPlenaryAllFeaturesSentences_DESCRIPTION = """\
+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 :\
+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) 
+Ideal if morpho-syntactic annotations aren't relevant to your work, providing a less disk space heavy option.
+
+"""
+
+_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=[f"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/committee_protocols_jsons.zip", f"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/plenary_protocols_jsons.zip"],
+            citation=_KnessetCorpus_CITATION,
+        ),
+        KnessetCorpusConfig(
+            name="all_features_sentences",
+            description=_AllFeaturesSentences_DESCRIPTION,
+            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"],
+            data_urls=[f"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/plenary_full_sentences_shards_bzip2_files/plenary_full_sentences_shard_{str(i).zfill(2)}.jsonl.bz2" for i in range(num_plenary_shard)] + [f"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/committee_full_sentences_shards_bzip2_files/committee_full_sentences_shard_{str(i).zfill(2)}.jsonl.bz2" for i in range(num_of_committee_shards)],
+            citation=_KnessetCorpus_CITATION,
+        ),
+        KnessetCorpusConfig(
+            name="no_morph_all_features_sentences",
+            description=_NoMorphAllFeaturesSentences_DESCRIPTION,
+            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", "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"],
+            data_urls=[
+                f"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/plenary_no_morph_sentences_shards_bzip2_files/no_morph_plenary_full_sentences_shard_{str(i).zfill(2)}.jsonl.bz2" for i in range(num_plenary_shard)] + [f"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/committee_no_morph_sentences_shards_bzip2_files/no_morph_committee_full_sentences_shard_{str(i).zfill(2)}.jsonl.bz2" for i in range(num_plenary_shard)],#TODO update num of shards
+            citation=_KnessetCorpus_CITATION,
+        ),
+        KnessetCorpusConfig(
+            name="committees_all_features_sentences",
+            description=_AllFeaturesSentences_DESCRIPTION,
+            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"],
+            data_urls=[f"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/committee_full_sentences_shards_bzip2_files/committee_full_sentences_shard_{str(i).zfill(2)}.jsonl.bz2" for i in range(num_of_committee_shards)],
+            citation=_KnessetCorpus_CITATION,
+        ),
+        KnessetCorpusConfig(
+            name="no_morph_committee_all_features_sentences",
+            description=_NoMorphCommitteeAllFeaturesSentences_DESCRIPTION,
+            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", "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"],
+            data_urls=[  f"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/committee_no_morph_sentences_shards_bzip2_files/no_morph_committee_full_sentences_shard_{str(i).zfill(2)}.jsonl.bz2" for i in range(num_of_committee_shards)],
+            citation=_KnessetCorpus_CITATION,
+        ),
+        KnessetCorpusConfig(
+            name="no_morph_plenary_all_features_sentences",
+            description=_NoMorphPlenaryAllFeaturesSentences_DESCRIPTION,
+            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", "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"],
+            data_urls=[
+                f"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/plenary_no_morph_sentences_shards_bzip2_files/no_morph_plenary_full_sentences_shard_{str(i).zfill(2)}.jsonl.bz2" for i in range(num_plenary_shard)],
+            citation=_KnessetCorpus_CITATION,
+        ),
+        KnessetCorpusConfig(
+            name="plenary_all_features_sentences",
+            description=_AllFeaturesSentences_DESCRIPTION,
+            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"],
+            data_urls=[f"https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus/resolve/main/protocols_sentences/plenary_full_sentences_shards_bzip2_files/plenary_full_sentences_shard_{str(i).zfill(2)}.jsonl.bz2" for i in range(num_plenary_shard)],
+            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:
+            if not "no_morph" in self.config.name:
+                features.update({"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")})})
+            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"),
+                "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)
+
+        # Handle single file case
+        if not isinstance(downloaded_files, list):
+            downloaded_files = [downloaded_files]
+
+        # Only process if we detect zip files
+        if any('zip://' in str(file) for file in downloaded_files):
+            extracted_files = []
+            for file_path in downloaded_files:
+                # Remove the zip:// prefix and download the actual zip content
+                actual_url = str(file_path).replace('zip://::', '')
+                extracted = dl_manager.download_and_extract(actual_url)
+
+                # If it's a directory, get all files inside
+                if os.path.isdir(extracted):
+                    for root, _, files in os.walk(extracted):
+                        for filename in files:
+                            full_path = os.path.join(root, filename)
+                            extracted_files.append(full_path)
+                else:
+                    extracted_files.append(extracted)
+
+            data_files = extracted_files
+        else:
+            data_files = downloaded_files
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "data_files": data_files,
+                },
+            ),
+        ]
+
+    def _generate_examples(self, data_files):
+        if "all_features_sentences" in self.config.name:
+            id_field_name = "sentence_id"
+        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):
+            try:
+                with open(filepath, encoding="utf-8") as f:
+                    for line in f:
+                        sample = {}
+                        try:
+                            row = json.loads(line)
+                        except Exception as e:
+                            print(f'couldnt load sample. error was: {e}. Continuing to next sample')
+                            continue
+                        id_ = row.get(id_field_name, None)
+                        if id_ is None:
+                            print(f"Key '{id_field_name}' not found in row. Skipping this row. row is: {row}")
+                            continue
+                        for feature in self._info().features:
+                            if feature == "protocol_sentences":
+                                protocol_sentences = row.get("protocol_sentences", [])
+                                # Ensure protocol_sentences is a list of dictionaries
+                                if isinstance(protocol_sentences, dict):
+                                    protocol_sentences = list(protocol_sentences.values())
+                                elif not isinstance(protocol_sentences, list):
+                                    print(f"'protocol_sentences' is not a list or dict. Skipping this row. Row: {row}")
+                                    continue
+                                sample[feature] = protocol_sentences
+                            else:
+                                sample[feature] = row.get(feature, None)
+
+                        try:
+                            yield id_, sample
+                        except Exception as e:
+                            print(f'couldnt yield sample. error: {e}. sample is: {sample}.', flush=True)
+            except Exception as e:
+                print(f"Error opening file '{filepath}': {e}. Skipping.")
+
+
+
+
+
+