datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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_decontaminatedverifiable-coding-problems-python_decontaminated-tested-shuffledmagpie-python-coding-instruction-62k-qwen2.5-bakeneko-32b-instruct
magpie-python-coding-instruction-62k-qwen2.5-bakeneko-32b-instruct
rinna/qwen2.5-bakeneko-32b-instructを用いたMagpieで生成した合成Instructionデータセットです。
なお、計算リソースの問題からoutputの品質評価は行っていません。
ご利用の際はご注意ください。
作成手順
rinna/qwen2.5-bakeneko-32b-instruct-awqを用いたMagpieで"instruction"を生成（magpie_systemの値をシステムプロンプトとして使用）
rinna/qwen2.5-bakeneko-32b-instruct-awqを用いて"instruction"の言語、タスクの種類、難易度、品質を評価
languageがja以外、もしくは品質がpoor/very poorのレコードを削除
rinna/qwen2.5-bakeneko-32b-instruct-awqを用いて応答を"output"として生成
open-r1-truncated-coding-pythonverifiable-coding-problems-python-10k_decontaminatedverifiable-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_2verifiable-coding-problems-python-10kverifiable-coding-problems-python-filteredverl-python-coding-datasethallym_coding_python
NOTI Coding Dataset - Python Language Submissions
This is a subset of the NOTI Coding Education Dataset filtered by programming_language = Python.
Dataset Overview
Total Records: 2964
Filter Criteria: programming_language = Python
Data Structure
Each row represents a single grading record:
problem_title: Problem identifier
student_id: Student identifier (anonymized)
code: Submitted code
grader_id: Grader identifier
score: Human grading score (0-10)… See the full description on the dataset page: https://huggingface.co/datasets/K-University-AIED/hallym_coding_python.verifiable-coding-problems-python-v2