kyLELEng/retailops-instruct-sft

该数据集包含用于RetailOps-Instruct的聊天格式监督微调示例。每个示例采用JSON格式，包含系统、用户和助手的角色信息，以及来源数据集、任务类型和类别等信息。数据集来源于多个公开数据集，如AI4H/EC-Guide、Shopify/product-catalogue等，涵盖了多种任务类型，如搜索意图感知SEO、评论感知列表优化等。数据集包含76,000个训练样本和4,000个验证样本，适用于零售领域的自然语言处理任务。

This dataset contains chat-format supervised fine-tuning examples for RetailOps-Instruct. Each example uses a JSON format with roles for system, user, and assistant, along with source dataset, task type, and category information. The dataset is sourced from multiple public datasets such as AI4H/EC-Guide, Shopify/product-catalogue, etc., and covers various task types like search intent aware SEO, review aware listing optimization, etc. It includes 76,000 training samples and 4,000 validation samples, suitable for natural language processing tasks in the retail domain.