Datasets:
Upload knessetCorpus.py
Browse files- knessetCorpus.py +35 -124
knessetCorpus.py
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import datasets
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import json
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import zipfile
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import bz2
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import os
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import
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from
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from typing import List, Dict, Any, Generator
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_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} }"
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@@ -359,124 +354,40 @@ class KnessetCorpus(datasets.GeneratorBasedBuilder):
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elif self.config.name == "knessetMembers":
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id_field_name = "person_id"
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for filepath in data_files:
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continue
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with zip_ref.open(file_info) as f:
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content = f.read().decode('utf-8')
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for line in content.splitlines():
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if not line.strip():
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continue
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try:
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except
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print(f
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except Exception as e:
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print(f"Error processing zip content from {url}: {e}")
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def _process_bz2_content(self, content: bytes, id_field_name: str, url: str) -> Generator[tuple, None, None]:
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try:
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decompressed = bz2.decompress(content).decode('utf-8')
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for line in decompressed.splitlines():
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if not line.strip():
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continue
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try:
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row = json.loads(line)
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except json.JSONDecodeError as e:
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print(f"JSON decode error in bz2 content from {url}: {e}")
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continue
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yield from self._process_row(row, id_field_name)
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except Exception as e:
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print(f"Error processing bz2 content from {url}: {e}")
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def _process_zip_file(self, filepath: str, id_field_name: str) -> Generator[tuple, None, None]:
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try:
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with zipfile.ZipFile(filepath, 'r') as zip_ref:
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for file_info in zip_ref.filelist:
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if not file_info.filename.endswith('.json'):
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continue
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with zip_ref.open(file_info) as f:
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content = f.read().decode('utf-8')
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for line in content.splitlines():
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if not line.strip():
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continue
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try:
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row = json.loads(line)
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except json.JSONDecodeError as e:
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print(f"JSON decode error in zip file {filepath}, file {file_info.filename}: {e}")
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continue
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yield from self._process_row(row, id_field_name)
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except Exception as e:
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print(f"Error opening zip file {filepath}: {e}")
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def _process_bz2_file(self, filepath: str, id_field_name: str) -> Generator[tuple, None, None]:
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try:
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with bz2.open(filepath, 'rt', encoding='utf-8') as f:
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for line in f:
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if not line.strip():
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continue
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try:
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row = json.loads(line)
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except json.JSONDecodeError as e:
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print(f"JSON decode error in bz2 file {filepath}: {e}")
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continue
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yield from self._process_row(row, id_field_name)
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except Exception as e:
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print(f"Error opening bz2 file {filepath}: {e}")
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def _process_row(self, row: Dict[str, Any], id_field_name: str) -> Generator[tuple, None, None]:
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id_ = row.get(id_field_name)
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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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return
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if "protocol_sentences" in row:
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for sentence in row.get("protocol_sentences", []):
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sentence_id = sentence.get("sentence_id")
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if sentence_id:
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yield sentence_id, sentence
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else:
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sample = {feature: row[feature] for feature in self._info().features if feature in row}
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yield id_, sample
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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 = "@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} }"
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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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try:
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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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# Handle nested structures (e.g., `protocol_sentences`)
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if "protocol_sentences" in row:
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protocol_sentences = row.get("protocol_sentences", [])
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for sentence in protocol_sentences:
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sentence_id = sentence.get("sentence_id", None)
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if sentence_id:
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yield sentence_id, sentence
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else:
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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}.', flush=True)
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except Exception as e:
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print(f"Error opening file '{filepath}': {e}. Skipping.")
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