| import itertools | |
| from typing import List | |
| import datasets | |
| import numpy as np | |
| import transformers | |
| import torch | |
| dataset = datasets.load_dataset("syntaxgym", "subordination_src-src") | |
| metric = datasets.load_metric("syntaxgym") | |
| model_ref = "gpt2" | |
| # model_ref = "hf-internal-testing/tiny-random-gpt_neo" | |
| result = metric.compute(suite=dataset["test"], model_id=model_ref) | |
| print(result) | |