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- license: cdla-permissive-2.0
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+ license: cdla-permissive-2.0
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+ # Overview
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+ This dataset is created to assess the ability of LLMs to retrieve and provide exact links to specific regulations. The objective is to evaluate LLM’s effectiveness in navigating complex legal databases to find and reference the correct documents.
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+ Financial product contracts, financial reports, and compliance documents require references or citations to specific legal provisions. Quickly finding accurate legal documents enhances compliance efficiency. This ability is important for LLMs to serve as a reliable tool for legal research and compliance checks. We evaluate LLMs’ ability to find accurate links to regulations governing the European OTC derivative market (regulated under EMIR), the U.S. securities market (regulated by the SEC), and the U.S. banking system (mainly regulated by the Federal Reserve and the Federal Deposit Insurance Corporation (FDIC).
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+ # Statistics
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+ | Category | Count | Data Sources |
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+ |--------------------|------:|-----------------|
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+ | EMIR | 109 | EUR-LEX,ESMA |
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+ | FDIC | 49 | FDIC, eCFR |
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+ | SEC | 18 | SEC,eCFR |
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+ | Federal Reserve | 16 | Federal Reserve, eCFR |
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+ # Metrics
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+ We use accuracy to evaluate the performance of LLMs. This metric measures the proportion of queries for which the model returns the exact and correct hyperlink as specified in the dataset.
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+ # Related tasks
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+ Regulations Challenge at COLING 2025: https://coling2025regulations.thefin.ai/home