Datasets:
debug
Browse files
README.md
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## Data Collection
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- **Period**: February 2011 to December 2022
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- **Source**: [Språkbanken](https://www.nb.no/sprakbanken/)
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- **Size**: 800,000 sentence pairs
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- **Format**: JSON-lines (with `text` , `
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### Processing Steps
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## Data Collection
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- **Period**: February 2011 to December 2022
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- **Source**: [Omsetjingsminne frå Nynorsk Pressekontor - Språkbanken](https://www.nb.no/sprakbanken/ressurskatalog/oai-nb-no-sbr-80/)
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- **Size**: 800,000 sentence pairs
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- **Format**: JSON-lines (with `text` , `language` fields)
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### Processing Steps
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test.py
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# Python script to check the data types in a JSONL file
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import json
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import argparse
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def check_data_types(jsonl_file_path):
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with open(jsonl_file_path, 'r') as f:
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for i, line in enumerate(f):
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data = json.loads(line)
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if not isinstance(data.get('text', None), str):
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print(f"Inconsistent data type at row {i+1}. 'text' is not a string.")
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if not isinstance(data.get('language', None), str):
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print(f"Inconsistent data type at row {i+1}. 'language' is not a string.")
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description='Check data types in a JSONL file.')
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parser.add_argument('--jsonl_file_path', required=True, help='Path to the JSONL file.')
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args = parser.parse_args()
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check_data_types(args.jsonl_file_path)
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