lm-evaluation/lm_eval/tasks/french_bench/preprocess_wikitext.py

import re


def wikitext_detokenizer(doc):
    string = doc["paragraph"]
    # contractions
    string = string.replace("s '", "s'")
    string = re.sub(r"/' [0-9]/", r"/'[0-9]/", string)
    # number separators
    string = string.replace(" @-@ ", "-")
    string = string.replace(" @,@ ", ",")
    string = string.replace(" @.@ ", ".")
    # punctuation
    string = string.replace(" : ", ": ")
    string = string.replace(" ; ", "; ")
    string = string.replace(" . ", ". ")
    string = string.replace(" ! ", "! ")
    string = string.replace(" ? ", "? ")
    string = string.replace(" , ", ", ")
    # double brackets
    string = re.sub(r"\(\s*([^\)]*?)\s*\)", r"(\1)", string)
    string = re.sub(r"\[\s*([^\]]*?)\s*\]", r"[\1]", string)
    string = re.sub(r"{\s*([^}]*?)\s*}", r"{\1}", string)
    string = re.sub(r"\"\s*([^\"]*?)\s*\"", r'"\1"', string)
    string = re.sub(r"'\s*([^']*?)\s*'", r"'\1'", string)
    # miscellaneous
    string = string.replace("= = = =", "====")
    string = string.replace("= = =", "===")
    string = string.replace("= =", "==")
    string = string.replace(" " + chr(176) + " ", chr(176))
    string = string.replace(" \n", "\n")
    string = string.replace("\n ", "\n")
    string = string.replace(" N ", " 1 ")
    string = string.replace(" 's", "'s")

    return string


def process_results(doc, results):
    (loglikelihood,) = results
    # IMPORTANT: wikitext counts number of words in *original doc before detokenization*
    _words = len(re.split(r"\s+", doc["paragraph"]))
    _bytes = len(doc["paragraph"].encode("utf-8"))
    return {
        "word_perplexity": (loglikelihood, _words),
        "byte_perplexity": (loglikelihood, _bytes),
        "bits_per_byte": (loglikelihood, _bytes),
    }