US Legal and Finance SFT: 150 Synthetic Q&A Pairs

150 synthetic Q&A pairs covering US Corporate Finance, Tax Law, SEC Regulations, and AML/KYC Compliance, authored by Gregorgramtoshi in March 2026. The data is intended for supervised fine-tuning of specialized language models in legal and financial sectors.

Use Cases

• Supervised fine-tuning of LLMs for US Tax Law (IRC) interpretation
• Training models for SEC regulation compliance question answering
• Developing text generation models for AML/KYC compliance scenarios

Strengths

• Average judge score of 8.77/10
• Covers niche domains including IRC and SEC regulations
• CC0 1.0 Universal public domain license

Limitations

• Small sample size of only 150 records
• Synthetic data may not capture the full complexity of actual legal documents
• Limited to US-specific regulations and laws

Provenance

Source

Gregorgramtoshi

Collection Method

Synthetic generation and filtering

Freshness

Last updated March 2026.

Geography

United States