TempestTeam/dataset-quality
收藏Hugging Face2025-04-02 更新2025-04-26 收录
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https://hf-mirror.com/datasets/TempestTeam/dataset-quality
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资源简介：
该数据集旨在训练模型对文本和代码数据的质量进行分类，区分不同的质量等级（从0：不适当或最低质量，到3：最高质量或高级内容）。质量评估使用了Qwen2.5-32B-Instruct-AWQ模型，通过链式思维（CoT）提示技术，对数据进行细致的评估。
This dataset is designed for training models to classify the quality of textual and code data, distinguishing between different quality levels (from 0: inappropriate or lowest quality, to 3: highest quality or advanced content). Quality evaluations were performed using the Qwen2.5-32B-Instruct-AWQ model with a chain-of-thought (CoT) prompting technique, enabling nuanced assessments of the data.
提供机构：
TempestTeam
