Procurement Contract Delivery and Acceptance Clause Understanding Dataset

#Contract Clause Extraction #Document Understanding #Structured Information Extraction #Responsibility Relation Identification #Procurement Contract Review #Supply Chain Compliance #Legal Document Analysis #Contract Performance Management

5500
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-04

AI Analysis & Value Prop

This dataset focuses on delivery and acceptance provisions in procurement and supply agreements, including delivery locations and deadlines, transportation responsibilities, acceptance standards and periods, rejection conditions, and risk transfer. It pairs contract clause text with structured information on delivery and acceptance procedures, cost allocation, required documents, and the responsibilities of the parties. It supports the evaluation of models that extract key information, interpret conditions, and identify performance obligations in legal documents, as well as training and assessment for contract review applications.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
clause_scope	string	Summarizes the contract subject matter, goods, or delivery batches covered by the clause.
delivery_time	object	Extracts the delivery date or period, triggering conditions, deadline, and consequences of delay.
risk_transfer	object	Extracts the rules governing when the risk of loss of or damage to goods transfers during delivery, transit, and acceptance.
delivery_location	string	Extracts the agreed delivery location, such as a warehouse, project site, or designated address.
party_obligations	array	Extracts the obligations of the purchaser, supplier, and other parties during delivery and acceptance, including triggering conditions and consequences of breach.
required_documents	array	Extracts documents required for delivery or acceptance, such as invoices, packing lists, certificates of conformity, and inspection reports.
acceptance_deadline	object	Extracts the acceptance period, its starting point, and the legal consequences of late acceptance.
acceptance_standard	array	Extracts acceptance criteria for quality, quantity, specifications, performance, packaging, and accompanying documents.
acceptance_procedure	array	Extracts, in sequence, the acceptance steps and responsible parties, such as arrival, counting, inspection, acknowledgment of receipt, and issuance of a report.
contract_clause_text	string	The original procurement or supply contract text concerning delivery and acceptance.
rejection_conditions	array	Extracts circumstances in which the purchaser may reject goods due to nonconformity in quality, quantity, documents, packaging, or delivery.
transport_cost_bearer	string	Identifies the party responsible for transportation, loading and unloading, insurance, and related logistics costs.
transport_responsibility	string	Identifies transportation arrangements, carrier selection, loading and unloading, and responsibility during transit.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What content does the dataset cover?: It focuses on delivery and acceptance provisions in procurement and supply agreements, including delivery locations and deadlines, transportation responsibilities and costs, risk transfer, acceptance standards and periods, rejection conditions, party obligations, and required documents.

What tasks can this dataset support?: It can support contract clause extraction, legal document understanding, structured extraction of delivery and acceptance information, responsibility relation identification, and training or domain evaluation for procurement contract review models.

Are dataset size and quality metrics available?: The information provided does not specify sample counts, coverage statistics, or quality metrics. Check the product listing or contact the provider before acquisition to confirm the dataset size, annotation guidelines, and quality assurance process.

How can I obtain the dataset, and what are the licensing terms?: Check the product listing or contact the provider for access options, available formats, and licensing terms. Before use, confirm the permitted scope, commercial use conditions, and compliance requirements for legal documents.

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Cite this Work

@dataset{Mobiusi2026,
  title={Procurement Contract Delivery and Acceptance Clause Understanding Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/22bcd775c9c5e434b4c752cc0b0b30c7},
  urldate={2026-10-28},
  keywords={procurement contract dataset,delivery and acceptance clauses,contract clause understanding,procurement contract review,legal document understanding,delivery obligation extraction,acceptance criteria identification,risk transfer analysis},
  version={1.0}
}

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