rahular/sft-pipeline-stage4

该数据集是一个大规模的自然语言处理数据集，包含约5.98百万个示例，主要用于训练机器学习模型。数据集特征包括提示ID、提示文本、来源、领域、阶段、难度级别、聚类ID、主题列表、语言、摘要和中心相似度分数，支持多领域、多语言和难度分级分析。数据仅提供训练拆分，适用于文本生成、分类、聚类等任务，旨在促进AI模型在多样化上下文中的性能提升。

This dataset is a large-scale natural language processing dataset containing approximately 5.98 million examples, primarily used for training machine learning models. It includes features such as prompt ID, prompt text, source, domain, stage, difficulty level, cluster ID, topics list, language, summary, and centroid similarity score, supporting multi-domain, multi-language, and difficulty-graded analysis. The data is provided only in a training split and is suitable for tasks like text generation, classification, and clustering, aiming to enhance AI model performance in diverse contexts.