Datasets:
Tasks:
Text Generation
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Danish
Size:
10M - 100M
ArXiv:
DOI:
License:
Improved token count
Browse files
src/dynaword/process_dataset.py
CHANGED
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@@ -17,14 +17,13 @@ logger = logging.getLogger(__name__)
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def _tokenize_function(
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examples: dict[str, Any], tokenizer: AutoTokenizer
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) -> dict[str, Any]:
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return examples
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def add_token_count(
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def _tokenize_function(
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examples: dict[str, Any], tokenizer: AutoTokenizer
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) -> dict[str, Any]:
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encodings = tokenizer(
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examples["text"],
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padding=False,
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truncation=False,
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return_length=True, # much faster, avoids storing all IDs
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) # type: ignore
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return {"token_count": encodings["length"]}
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def add_token_count(
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