Datasets:
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import datasets
import kenlm
kenlm_model = kenlm.Model("PATH_TO_YOUR_KENLM")
def get_perplexity(example):
"""Get perplexity of text field."""
example["perplexity_kenlm_full"] = kenlm_model.perplexity(example["text"].lower())
return example
dataset = datasets.load_dataset("csv", data_files={"train": "train.csv", "validation": "valid.csv"})
# TRAIN SPLIT PERPLEXITY
dataset["train"] = dataset["train"].map(get_perplexity, num_proc=64, writer_batch_size=100000)
# VALIDATION SPLIT PERPLEXITY
dataset["validation"] = dataset["validation"].map(get_perplexity, num_proc=64, writer_batch_size=100000)
# SAVE DATASET
dataset["train"].to_csv("train.csv", num_proc=64, index=False)
dataset["validation"].to_csv("valid.csv", num_proc=64, index=False) |