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PhilipMay avatar PhilipMay commented on May 22, 2024 1

Ahh I see. Many thanks.

from electra_pytorch.

richarddwang avatar richarddwang commented on May 22, 2024

Hi @PhilipMay

electra_pytorch/_utils/utils.py

Lines 137 to 140 in f4940c7

for line in re.split(self.lines_delimiter, text): # for every paragraph
if re.fullmatch(r'\s*', line): continue # empty string or string with all space characters
if self.apply_cleaning and self.filter_out(line): continue

  • Every "row" in the original (raw) huggingface dataset contains a column 'text', which is a document (a very long python string)
  • ELECTRADataProcessor will read that long string and split it by \n into sentences and clear empty sentences by default
  • ELECTRADataProcessor sequentially concatenate all sentences from the same document in the same way the official one do it, into many "sample"s.
  • In conclusion, ELECTRADataProcessor.map take a raw huggingface dataset with document as row and output a preprocessed huggingface dataset which has "row" as sample, and each row is with columns "input_ids", "attention_mask", ....

Feel free to tag me if you still have some questions.

from electra_pytorch.

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