Datasetpublic

rasdani/verifiable-coding-problems-python_decontaminated_fewer_test_cases

import datasets import random def limit_test_cases_uniformly(example, max_test_cases=6): num_test_cases = random.randint(1, max_test_cases) example['verification_info']['test_cases'] = example['verification_info']['test_cases'][:num_test_cases] return example ds = datasets.load_dataset("open-r1/verifiable-coding-problems-python_decontaminated", split="train") ds_filtered = ds.map(limit_test_cases_uniformly, num_proc=10)… See the full description on the dataset page: https://huggingface.co/datasets/rasdani/verifiable-coding-problems-python_decontaminated_fewer_test_cases.

sourceHugging Faceupdated 2y agoView on Hugging Face

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python

import datasets
import random


def limit_test_cases_uniformly(example, max_test_cases=6):
    num_test_cases = random.randint(1, max_test_cases)
    example['verification_info']['test_cases'] = example['verification_info']['test_cases'][:num_test_cases]
    return example


ds = datasets.load_dataset("open-r1/verifiable-coding-problems-python_decontaminated", split="train")
ds_filtered = ds.map(limit_test_cases_uniformly, num_proc=10)

ds_filtered.push_to_hub("rasdani/verifiable-coding-problems-python_decontaminated_fewer_test_cases")

Before: <img src="before.png" alt="before.png" style="width: 400px; height: auto;">

After: <img src="after.png" alt="after.png" style="width: 400px; height: auto;">