| 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) | |