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Text 2Python

Our Text2Python datasets improve Python coding capabilities across domains. Through detailed prompts, multi-step annotations, and strict quality checks, we ensure AI models generate accurate and efficient scripts for real-world programming challenges.

How It Works - Annotation Schema?

Prompt Creation

Developers craft prompts for diverse programming challenges and domain needs.

Script Generation

Developers convert prompts into efficient scripts with proper libraries and practices

Quality Assurance

Multi-layer validation ensures error-free, efficient code with peer reviews & automated checks.

Deccan AI Platform Integration

Real-time feedback and error-checking refine the code, ensuring optimal performance.

Final Review and Optimization

Annotators fine-tune the code for readability, robustness, and production readiness.

Unique Dataset Features

Use Case-Specific Datasets Hallucinations

High-quality datasets tackling real-world Python challenges across domains, ensuring practical and efficient model training.

Expert Curated

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

Domain Specific Dataset

Ensuring the generated Python script fully addresses the prompt and functions as intended when executed.

Code Quality and Error Handling

Code Quality and Error Handling Generated Python scripts are functional, efficient , well-structured, and include robust error handling for real-world applications.

"Deccan AI ’s Text 2Python solutions have significantly enhanced our model’s ability to generate accurate and efficient code. Their high-quality, domain-specific datasets and tailored prompts have set a new benchmark for Python script generation, enabling us to tackle complex programming tasks with confidence."

– Senior Data Scientist , Leading Technology Firm