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import pandas as pd | |
from datasets import load_dataset | |
def get_samples(): | |
dataset = load_dataset("mteb/stsbenchmark-sts") | |
get_where = lambda score: dataset['validation'].filter(lambda x: x['score'] == score, load_from_cache_file = False)[0] | |
test_samples = pd.DataFrame([ | |
get_where(5), | |
get_where(4.5), | |
get_where(4), | |
get_where(3.5), | |
get_where(3), | |
get_where(2.5), | |
get_where(2), | |
get_where(1.5), | |
get_where(1), | |
get_where(0.5), | |
get_where(0), | |
], columns=['sentence1', 'sentence2', 'score']) | |
return test_samples |