gretelai/gretel-financial-risk-analysis-v1

这是一个包含合成金融风险评估文本的数据集，用于训练模型从金融文件中提取关键风险因素并生成结构化摘要。数据集通过微调Phi-3-mini-128k-instruct模型生成，使用了14,306份SEC文件，并采用了差分隐私技术来保护敏感信息。数据集支持两个主要任务：识别和分类金融风险的特征提取任务，以及生成结构化风险分析摘要的文本摘要任务。

This dataset contains synthetic financial risk analysis text, used for training models to extract key risk factors and generate structured summaries from financial documents. The dataset is generated by fine-tuning the Phi-3-mini-128k-instruct model on 14,306 SEC filings, utilizing differential privacy to protect sensitive information. It supports two main tasks: feature extraction for identifying and categorizing financial risks, and text summarization for generating structured risk analysis summaries.