Comments (2)
Hi, I have a similar issue: I get ValueError: len(tokenizer(text)) should be at least <number here> (num_anchors * max_span_len * 2), got 0
I have filtered my input data to have both minimum length beyond parameter min_length
and greater than 0, of course! I also tried to print out the text to be tokenized, it was empty!? How can that be?
I use a pretrained model from Sentence Transformers, sentence-transformers/paraphrase-multilingual-mpnet-base-v2
, so the tokenizer comes from that model - do you have any idea, why the text is empty?
EDIT: I found the problem, I was missing out some carriage returns (\r
) when filtering the input which obviously led to an empty document somehow...
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This check uses the tokenizer
passed to dataset_reader.py
IF it is a PretrainedTransformerTokenizer
. Otherwise is uses .split()
.
Did you use the same tokenizer to filter your dataset as the tokenizer you passed to dataset_reader.py
?
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