python-coding
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