langq1225/lookaheadkv-qwen3-1p7b-training-data

该数据集包含两个主要配置：generated_response和gold_response，用于自然语言处理任务，特别是与提示和响应生成相关的场景。generated_response配置包含86,000个训练样本，总大小约5.43 GB，特征包括提示文本、响应文本、输入ID序列、长度信息以及详细的元数据，如原始数据集来源、语言、生成后端（如模型名称、温度参数等）。gold_response配置包含85,979个训练样本，总大小约5.09 GB，特征类似，但可能侧重于标准或参考响应。数据集适用于模型训练、评估和生成任务，支持多语言处理，并包含结构化元数据以追踪数据来源和处理过程。This dataset includes two main configurations: generated_response and gold_response, designed for natural language processing tasks, particularly in prompt and response generation scenarios. The generated_response configuration contains 86,000 training samples with a total size of approximately 5.43 GB, featuring prompt text, response text, input ID sequences, length information, and detailed metadata such as raw dataset source, language, and generation backend (e.g., model name, temperature parameters). The gold_response configuration contains 85,979 training samples with a total size of approximately 5.09 GB, with similar features but potentially focused on standard or reference responses. The dataset is suitable for model training, evaluation, and generation tasks, supports multilingual processing, and includes structured metadata to track data provenance and processing steps.