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aturate/my-distiset-3964000a

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Hugging Face2025-04-06 更新2025-04-12 收录
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https://hf-mirror.com/datasets/aturate/my-distiset-3964000a
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资源简介:
该数据集是一个文本分类数据集,包含约1千条以下的示例。数据集的特征包括文本内容和对应的分类标签,标签分为风格指南、最佳实践、代码质量、改进建议、可读性和错误修复六个类别。数据集目前只有一个训练集划分,包含9个示例,总共3410字节。数据集是使用distilabel工具生成的,可以通过提供的pipeline.yaml文件在distilabel中重现生成过程。

This dataset is a text classification dataset containing fewer than 1,000 examples. The features of the dataset include text content and corresponding classification labels, which are divided into six categories: style-guidelines, best-practices, code-quality, improvement-suggestion, readability, and error-fix. The dataset currently has only one training set split, which includes 9 examples and totals 3,410 bytes. The dataset was generated using the distilabel tool, and the generation process can be reproduced in distilabel using the provided pipeline.yaml file.
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