---
license: cc-by-4.0
task_categories:
- tabular-classification
- feature-extraction
language:
- en
tags:
- drug-deal
- biotech-business
- licensing-deals
- pharma-m-a
- market-intelligence
pretty_name: Global Biopharma Licensing & M/A Transactions
size_categories:
- 1K<n<10K
---
🤝 **Dataset Summary**

Pharmaceutical licensing and deal intelligence records covering 1,000 transactions. Each record captures the deal structure, involved organizations, financial terms, and asset details, sourced from news and company disclosures.

**🚀 Key Features**

- **Deal Structure:** `deal_type` classifies transaction type (license, acquisition, collaboration, etc.) with multilingual labels.
- **Financial Terms:** `deal_value` provides structured breakdown of payment types (upfront, milestone) with normalized USD values (~34.5% of records).
- **Organizational Mapping:** `principle_org` and `partner_org` identify both sides of each transaction.
- **Asset Linkage:** `deal_project` links deals to specific drugs or programs by name and type.
- **Territory Coverage:** `territory_included` specifies geographic rights where disclosed (~33.8% of records).

**💻 Quick Start & MCP Integration**

```python
from datasets import load_dataset

dataset = load_dataset("your-org/drug-deals", split="train")
record = dataset[0]
print(record["deal_title"])
# Output: 'GSK exercises option on Anacor\'s novel antibiotic for the treatment of gram-negative infections'
print(record["principle_org"])
# Output: ['Anacor Pharmaceuticals']
print(record["deal_value"][0]["value"])
# Output: '15.00'  (million dollars, upfront payment)
```

---