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Text 2SQL

Deccan AI offers a premium Text-to-SQL dataset for advanced Conversational BI tasks, featuring 1,000 high-quality NLQ-SQL pairs in MySQL and PostgreSQL dialects. Targeting medium to hard complexity, it enhances model accuracy for structured data queries.

How It Works - Annotation Schema?

NLQ Generation

Business analysts craft questions reflecting common business insights and real-world needs.

SQL Query Creation

SQL experts craft efficient queries, considering schema nuances and dialect variations.

Quality Assurance

Multi-layer validation ensures each NLQ-SQL pair meets high standards of accuracy and clarity.

Deccan AI Platform Integration

Real-time error-checking and feedback, enhancing data quality and streamlining workflow.

Unique Dataset Features

Reduces
Hallucinations

We use hierarchical document-structured chunking to minimize AI errors, delivering precise and well-annotated context.

Expert
Curated

Meticulously curated by top 1% industry experts, including Ph D holders, our data ensures unmatched accuracy and reliability.

Comprehensive & Domain Specific Dataset

A rich dataset tailored to cover all relevant information within a specific domain.

"Deccan AI ’s premium Text 2SQL dataset has signifi cantly enhanced our model’s ability to handle complex business queries with precision. The high-quality NLQ and SQL pairs, coupled with varied SQL dialects, have greatly improved our model’s accuracy and effi ciency in processing structured data. A game-changer for advanced Conversational Business Intelligence."

– Senior Data Scientist , Leading Business Intelligence Firm