datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Code-Feedback-decontaminationA decontaminated version of m-a-p/Code-Feedback.
The excluded (28) files are "contaminated" with only two code segments:
simple GCD function: while b: a, b = b, a % b return a
sum_to_n solution: return sum(range(n + 1))
And reformated to sharegpt.
Decontamination is done in the same way as Magicoder (ie., bigcode decontamination process), which uses a substring-match-finding method to find overlaps between a target dataset and the following standard benchmarks:
HumanEval
MBPP… See the full description on the dataset page: https://huggingface.co/datasets/Leon-Leee/Code-Feedback-decontamination.ru_codefeedbacksl_code_feedback
Slovenian Code Feedback Instruction Translated Dataset
This dataset is a 40000-sample subset of code-instruction pairs, derived from existing instruction datasets. It is primarily based on the CodeFeedback-Filtered-Instruction dataset (https://huggingface.co/datasets/m-a-p/CodeFeedback-Filtered-Instruction), which contains curated code instruction–response pairs grouped by programming language (e.g., Python, SQL, Java, JavaScript, Rust, C#) and by source (e.g.… See the full description on the dataset page: https://huggingface.co/datasets/cjvt/sl_code_feedback.