Dataset Overview
| Dataset Name | Enterprise Project Contract Dataset |
| Total Data Volume | 42,000 copies (including contract text + structured terms fields) |
| General contracting/ technical services/procurement/lease/investment financing/commissioning development/ strategic cooperation | |
| Covering industry | Construction / IT Internet / Manufacturing / Energy / Finance / Medical / Education |
| Time Span | 2016 - 2026 |
| Data Source | Listed company announcements, public procurement platforms, enterprise ERP systems (authorized de-identification) |
| Annotation Method | Legal professionals + NLP pre-marking support |
Detailed Description of Data Dimensions
| Field Name | Data Type | Value Range / Description |
|---|---|---|
| contract_id | String(32) | De-sensitization contract ID |
| contract_type | Enum | EPC | TECH_SERVICE | PROCUREMENT | LEASE | INVESTMENT | RND | STRATEGIC |
| industry | Enum | CONSTRUCTION | IT | MANUFACTURING | ENERGY | FINANCE | HEALTHCARE | EDUCATION |
| contract_amount | Float | Contract amount (thousands of dollars) |
| signing_date | Date | Date signed (month of year only) |
| duration_months | Integer | Duration of contract (months) |
| parties | Object | {party_a: {type, region}, party_b: {type, region}} |
| key_clauses | Array | [{clause_type, risk_level, summary, original_text_start, original_text_end}] |
| risk_indicators | Object | {payment_risk, delivery_risk, legal_risk, overall_risk} 0-100 |
| payment_terms | Object | {milestones, percentages, conditions} |
De-identified JSON Data Sample
[ { "contract_id": "CTR-2024-A0008234", "contract_type": "EPC", "industry": "CONSTRUCTION", "contract_amount": 18500.0, "signing_date": "2024-03", "duration_months": 24, "parties": {"party_a": {"type": "GOV", "region": ""}, "party_b": {"type": "SOE", "region": ""}}, "key_clauses": [ {"clause_type": "", "risk_level": "MEDIUM", "summary": "5，20%"}, {"clause_type": "", "risk_level": "HIGH", "summary": "0.05%"} ], "risk_indicators": {"payment_risk": 35, "delivery_risk": 60, "legal_risk": 25, "overall_risk": 42}, "payment_terms": {"milestones": 5, "percentages": [20, 20, 20, 20, 20], "conditions": ["", "", "", "", ""]} }, { "contract_id": "CTR-2023-B0015621", "contract_type": "TECH_SERVICE", "industry": "IT", "contract_amount": 480.0, "signing_date": "2023-08", "duration_months": 12, "parties": {"party_a": {"type": "PRIVATE", "region": ""}, "party_b": {"type": "PRIVATE", "region": ""}}, "key_clauses": [ {"clause_type": "", "risk_level": "HIGH", "summary": "，"} ], "risk_indicators": {"payment_risk": 15, "delivery_risk": 30, "legal_risk": 50, "overall_risk": 32}, "payment_terms": {"milestones": 3, "percentages": [30, 40, 30], "conditions": ["", "", ""]} }, { "contract_id": "CTR-2024-C0032891", "contract_type": "PROCUREMENT", "industry": "MANUFACTURING", "contract_amount": 3200.0, "signing_date": "2024-06", "duration_months": 6, "parties": {"party_a": {"type": "SOE", "region": ""}, "party_b": {"type": "FOREIGN", "region": ""}}, "key_clauses": [ {"clause_type": "Quality Assurance", "risk_level": "LOW", "summary": "24，4Hours"} ], "risk_indicators": {"payment_risk": 20, "delivery_risk": 25, "legal_risk": 15, "overall_risk": 18}, "payment_terms": {"milestones": 2, "percentages": [70, 30], "conditions": ["", ""]} }, { "contract_id": "CTR-2025-D0074532", "contract_type": "INVESTMENT", "industry": "ENERGY", "contract_amount": 52000.0, "signing_date": "2025-01", "duration_months": 120, "parties": {"party_a": {"type": "GOV", "region": ""}, "party_b": {"type": "SOE", "region": ""}}, "key_clauses": [ {"clause_type": "", "risk_level": "HIGH", "summary": "25 Years，8%"} ], "risk_indicators": {"payment_risk": 55, "delivery_risk": 40, "legal_risk": 30, "overall_risk": 48}, "payment_terms": {"milestones": 4, "percentages": [25, 30, 30, 15], "conditions": ["", "", "", ""]} }, { "contract_id": "CTR-2024-E0021456", "contract_type": "STRATEGIC", "industry": "HEALTHCARE", "contract_amount": 0.0, "signing_date": "2024-11", "duration_months": 36, "parties": {"party_a": {"type": "LISTED", "region": ""}, "party_b": {"type": "PRIVATE", "region": ""}}, "key_clauses": [ {"clause_type": "Partnership", "risk_level": "LOW", "summary": "AIImagingProducts"} ], "risk_indicators": {"payment_risk": 10, "delivery_risk": 20, "legal_risk": 35, "overall_risk": 22}, "payment_terms": null }
]
AI Training Use Cases
Intelligent Contract Review
Applying model: Legal-BERT / ChatLaw + Multiple label classification. Automatically identify the risk clauses, missing clauses and unfair clauses in the contract.
Automatic generation of contract terms
Applying model: LLM (GPT-4o / DeepSeek-V3)+Few-shot Prompting. Automatically generate standard text of terms according to contract type and parameters.
Risk assessment of contracts
Applying model: XGBoost/TabNet. Training in contract risk scoring model based on historical contract terms and performance results.
Smart contract management (CLM)
Applying model: NER + RE + rule engine. Automatically extracts the contract key date, amount, performance node to manage the contract throughout its life cycle.
Get This Dataset
Enterprise contract data sets are flexiblely authorized by industry and contract type.
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