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ContractNonStandardsAnalysis

tags: regression, legal predictive modeling, risk assessment

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description: The dataset titled 'ContractNonStandardsAnalysis' comprises various textual excerpts from contracts identified as containing non-standard terms. Each row in the dataset represents a contract snippet with associated features that might be relevant for regression analysis or legal predictive modeling in the context of risk assessment. The dataset is intended to help machine learning practitioners develop models that can automatically detect and analyze the implications of non-standard contractual terms.

CSV Content Preview:


"snippet_id","contract_text","non_standard_terms","potential_risk_factor","label"

"001","This Agreement may be amended by mutual written consent of the parties.","ambiguous scope of amendment","High","Ambiguity Risk"

"002","Payment shall be made in gold coins or equivalent value.","uncommon payment method","Medium","Payment Method Risk"

"003","The lessee shall not assign this lease without the lessor's prior written consent.","non-standard assignment clause","Medium","Assignment Risk"

"004","The lessee must comply with all applicable laws at the time of the lease commencement.","ambiguous compliance obligation","High","Compliance Risk"

"005","In case of early termination, the lessee shall compensate for lost rent up to 6 months.","unusual termination compensation","Low","Termination Risk"

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'Contracts Non Standards terms':

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