datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
verifiable-coding-problems
SYNTHETIC-1
This is a subset of the task data used to construct SYNTHETIC-1. You can find the full collection here
verifiable-coding-problems-python
Dataset Card for Verifiable Coding Problems Python 10k
This dataset contains all Python problems from PrimeIntellect's verifiable-coding-problems dataset. We have formatted the verification_info and metadata columns to be proper dictionaries, but otherwise the data is the same. Please see their dataset for more details.
verifiable-coding-problems-python_decontaminated-testedverifiable-coding-problems-python_decontaminated-tested-shuffledverifiable-coding-problems-python_decontaminatedcses-fi-competitive-coding-problemsRLVR_Coding_ProblemsThis dataset is directly taken from DeepCoder x Agentica's release: https://huggingface.co/datasets/agentica-org/DeepCoder-Preview-Dataset. It is slightly reformatted to fit our use cases.
verifiable-coding-problems-python-10k_decontaminatedverifiable-coding-problemsverifiable-coding-problems-python_decontaminated_fewer_test_casesimport 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.verifiable-coding-problems-pythonverifiable-coding-problems-python-10k_decontaminated_2DSA-Coding-Problems-and-Solutions-Dataset
Dataset Description
This dataset is a large-scale collection of Data Structures and Algorithms (DSA) code, containing 12,385 code files with 3.86 million lines of code and 25.01 million lexical tokens, designed to support the development of advanced code generation models, programming assistants, software engineering AI systems, and code intelligence applications.
It consists of real-world DSA implementations covering a wide range of algorithms, data structures, problem-solving… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/DSA-Coding-Problems-and-Solutions-Dataset.verifiable-coding-problems-python-10kverifiable-coding-problems-python-filteredverifiable-coding-problems-SFTverifiable-coding-problems-python-v2verifiable-coding-problems-python-pref