calculate_kenlm_perplexity.py

import datasets
import kenlm

kenlm_model = kenlm.Model("kenlm_5gram_fi.bin")


def get_perplexity(example):
    """Get perplexity of text field."""
    example["perplexity_kenlm"] = int(kenlm_model.perplexity(example["text"]))
    return example


dataset = datasets.load_from_disk("/researchdisk/mc4_3.1.0_fi_cleaned")

# TRAIN SPLIT PERPLEXITY
dataset["train"] = dataset["train"].map(
    get_perplexity, num_proc=64
)

# VALIDATION SPLIT PERPLEXITY
dataset["validation"] = dataset["validation"].map(
    get_perplexity, num_proc=64
)

# SAVE DATASET
dataset.save_to_disk("/researchdisk/mc4_3.1.0_fi_cleaned", num_proc=32)