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jerrychi/FinErva

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Hugging Face2025-12-12 更新2025-12-20 收录
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资源简介:
FinErva是一个多模态的金融推理数据集,旨在模拟金融分析师的专业推理过程。它包含两个主要子集:FinErva-Pact(5,488个样本)专注于合同与披露文件的理解,FinErva-Price(2,056个样本)专注于蜡烛图技术分析。每个样本包括真实的金融图像、金融相关问题、人类验证的推理链和正确答案。数据集支持多模态推理,强调可解释性和轻量级模型友好性,适用于金融决策支持、风险管理和机器人顾问等领域的研究。

FinErva is a multimodal Chain-of-Thought (CoT) dataset designed explicitly for financial reasoning. It captures two economically important tasks in investment decision-making: contract & disclosure understanding (FinErva-Pact) and candlestick-chart technical analysis (FinErva-Price). The dataset contains 7,544 manually verified samples, each including a real financial image, a finance-oriented question, a human-validated Chain-of-Thought rationale, and a correct answer. FinErva supports research on auditable, multimodal, interpretable, and financially compliant AI systems, and is designed to be lightweight-model friendly for sub-0.8B vision–language models.
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