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.
starcoder-python-instruct
StarCoder-Python-Qwen-Instruct
Dataset Description
This dataset contains Python code samples paired with synthetically generated natural language instructions. It is designed for supervised fine-tuning of language models for code generation tasks. The dataset is derived from the Python subset of the bigcode/starcoderdata corpus, and the instructional text for each code sample was generated using the Qwen/Qwen3-Coder-30B-A3B-Instruct-FP8 model.
Creation… See the full description on the dataset page: https://huggingface.co/datasets/OLMo-Coding/starcoder-python-instruct.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-v2sn96g-coding-python-2chunk1-20250919_154429
Subnet 96 — Clean Q/A Dataset
Format: one JSONL per line:
{"system": null, "conversations":[{"role":"user","content":"..."}, {"role":"assistant","content":"..."}]}
Total pairs: 57
Avg answer length (tokens): 96.6 (median 89, min 54, max 149)
Schema errors: 0 (should be 0)
File size: 0.04 MB
SHA256 (data.jsonl): 9625a01aadde2e1e0ef04355ef7947f3e362fbd3bd113f337046ee95ec4646dc
Language: English
Intended for: Bittensor Subnet 96 validators
Generation: local LLaMA (GPU) +… See the full description on the dataset page: https://huggingface.co/datasets/raniero/sn96g-coding-python-2chunk1-20250919_154429.sn96g-coding-python-2chunk1-20250919_171048
Subnet 96 — Clean Q/A Dataset
Format: one JSONL per line:
{"system": null, "conversations":[{"role":"user","content":"..."}, {"role":"assistant","content":"..."}]}
Total pairs: 30
Avg answer length (tokens): 114.4 (median 114.0, min 85, max 158)
Schema errors: 0 (should be 0)
File size: 0.03 MB
SHA256 (data.jsonl): 23a401df242fc95b8ff6badbb46641ca079b4d0bf1ef463ff39580386a650328
Language: English
Intended for: Bittensor Subnet 96 validators
Generation: local LLaMA (GPU) +… See the full description on the dataset page: https://huggingface.co/datasets/raniero/sn96g-coding-python-2chunk1-20250919_171048.verifiable-coding-problems-python-prefsn96g-coding-python-2chunk1-20250919_153243
Subnet 96 — Clean Q/A Dataset
Format: one JSONL per line:
{"system": null, "conversations":[{"role":"user","content":"..."}, {"role":"assistant","content":"..."}]}
Total pairs: 55
Avg answer length (tokens): 93.8 (median 93, min 51, max 144)
Schema errors: 0 (should be 0)
File size: 0.04 MB
SHA256 (data.jsonl): 950363e59e9e0d021bba0fa8cff3a34f7242997b5cda5709dcdd9a04afa81e74
Language: English
Intended for: Bittensor Subnet 96 validators
Generation: local LLaMA (GPU) +… See the full description on the dataset page: https://huggingface.co/datasets/raniero/sn96g-coding-python-2chunk1-20250919_153243.sn96g-coding-python-10chunk1-20250919_131447
Subnet 96 — Clean Q/A Dataset
Format: one JSONL per line:
{"system": null, "conversations":[{"role":"user","content":"..."}, {"role":"assistant","content":"..."}]}
Total pairs: 29
Avg answer length (tokens): 110.5 (median 106, min 86, max 151)
Schema errors: 0 (should be 0)
File size: 0.02 MB
SHA256 (data.jsonl): 39b1355ce43b875d5ee58db507e017672cc6d8eb8eee8ba9b2553b1362b5fb67
Language: English
Intended for: Bittensor Subnet 96 validators
Generation: local LLaMA (GPU) +… See the full description on the dataset page: https://huggingface.co/datasets/raniero/sn96g-coding-python-10chunk1-20250919_131447.sn96g-coding-python-2chunk1-20250919_191000
Subnet 96 — Clean Q/A Dataset
Format: one JSONL per line:
{"system": null, "conversations":[{"role":"user","content":"..."}, {"role":"assistant","content":"..."}]}
Total pairs: 2
Avg answer length (tokens): 39.5 (median 39.5, min 39, max 40)
Schema errors: 0 (should be 0)
File size: 0.00 MB
SHA256 (data.jsonl): a3e2356ba17c01acd92e250be0b73ffaac3e51f203d67d72a32139a18a0fc5ef
Language: English
Intended for: Bittensor Subnet 96 validators
Generation: local LLaMA (GPU) +… See the full description on the dataset page: https://huggingface.co/datasets/raniero/sn96g-coding-python-2chunk1-20250919_191000.sn96g-coding-python-2chunk1-20250919_200044
Subnet 96 — Clean Q/A Dataset
Format: one JSONL per line:
{"system": null, "conversations":[{"role":"user","content":"..."}, {"role":"assistant","content":"..."}]}
Total pairs: 2
Avg answer length (tokens): 27.5 (median 27.5, min 25, max 30)
Schema errors: 0 (should be 0)
File size: 0.00 MB
SHA256 (data.jsonl): 4d28dd4534eaa107115068d18fe22862b926bc1503a1b45f6709a223cfac3a5a
Language: English
Intended for: Bittensor Subnet 96 validators
Generation: local LLaMA (GPU) +… See the full description on the dataset page: https://huggingface.co/datasets/raniero/sn96g-coding-python-2chunk1-20250919_200044.sn96g-coding-python-2chunk1-20250919_172914
Subnet 96 — Clean Q/A Dataset
Format: one JSONL per line:
{"system": null, "conversations":[{"role":"user","content":"..."}, {"role":"assistant","content":"..."}]}
Total pairs: 2
Avg answer length (tokens): 16 (median 16.0, min 13, max 19)
Schema errors: 0 (should be 0)
File size: 0.00 MB
SHA256 (data.jsonl): 957587716fc204eafff5f6f37b2d390d8eac9431431bd4923696830d42607ee2
Language: English
Intended for: Bittensor Subnet 96 validators
Generation: local LLaMA (GPU) +… See the full description on the dataset page: https://huggingface.co/datasets/raniero/sn96g-coding-python-2chunk1-20250919_172914.sn96g-coding-python-2chunk1-20250919_181945
Subnet 96 — Clean Q/A Dataset
Format: one JSONL per line:
{"system": null, "conversations":[{"role":"user","content":"..."}, {"role":"assistant","content":"..."}]}
Total pairs: 2
Avg answer length (tokens): 19 (median 19.0, min 15, max 23)
Schema errors: 0 (should be 0)
File size: 0.00 MB
SHA256 (data.jsonl): a5b5f45032610f3754654b9f5c688c1e9fc7926a93c8aa2f5e4f0fb34e35eedc
Language: English
Intended for: Bittensor Subnet 96 validators
Generation: local LLaMA (GPU) +… See the full description on the dataset page: https://huggingface.co/datasets/raniero/sn96g-coding-python-2chunk1-20250919_181945.